def __init__(self):
# 初始化move_group的API
moveit_commander.roscpp_initialize(sys.argv)
# 初始化ROS节点
rospy.init_node('moveit_cartesian_demo', anonymous=True)
# 是否需要使用笛卡尔空间的运动规划
cartesian = rospy.get_param('~cartesian', True)
# 初始化需要使用move group控制的机械臂中的arm group
arm = MoveGroupCommander('arm')
# 设置位置(单位：米)和姿态（单位：弧度）的允许误差
# arm.set_goal_position_tolerance(0.00001)
# arm.set_goal_orientation_tolerance(0.00001)
arm.set_max_velocity_scaling_factor(0.5)
arm.set_max_acceleration_scaling_factor(1.0)
arm.set_planning_time(0.5) # 规划时间限制为2秒
arm.allow_replanning(True) # 当运动规划失败后，是否允许重新规划
# 设置目标位置所使用的参考坐标系
reference_frame = 'base_link'
arm.set_pose_reference_frame(reference_frame)
# 获取终端link的名称
eef_link = arm.get_end_effector_link()
self.group = arm
self.eef_link = eef_link
self.reference_frame = reference_frame
self.moveit_commander = moveit_commander
self.listener = tf.TransformListener()
def __init__(self, pose):
self.check_collision = False
# 初始化move_group的API
moveit_commander.roscpp_initialize(sys.argv)
# 初始化ROS节点
rospy.init_node('moveit_obstacles_demo')
# 初始化场景对象
scene = PlanningSceneInterface()
# 创建一个发布场景变化信息的发布者
self.scene_pub = rospy.Publisher('planning_scene', PlanningScene, queue_size=5)
# 创建一个存储物体颜色的字典对象
self.colors = dict()
# 等待场景准备就绪
rospy.sleep(1)
# 初始化需要使用move group控制的机械臂中的arm group
arm = MoveGroupCommander('arm')
# 获取终端link的名称
end_effector_link = arm.get_end_effector_link()
# 设置位置(单位：米)和姿态（单位：弧度）的允许误差
arm.set_goal_position_tolerance(0.01)
arm.set_goal_orientation_tolerance(0.05)
# 当运动规划失败后，允许重新规划
arm.allow_replanning(True)
# 设置目标位置所使用的参考坐标系
reference_frame = 'base_link'
arm.set_pose_reference_frame(reference_frame)
# 设置每次运动规划的时间限制：5s
arm.set_planning_time(5)
# 将场景中的颜色设置发布
self.sendColors()
rospy.sleep(5)
joint_positions = pose
arm.set_joint_value_target(joint_positions)
# 控制机械臂完成运动
if arm.go():
pass
else:
self.check_collision = True
rospy.sleep(1)
# 关闭并退出moveit
moveit_commander.roscpp_shutdown()
moveit_commander.os._exit(0)
def __init__(self):
# 初始化move_group的API
moveit_commander.roscpp_initialize(sys.argv)
# 初始化ROS节点
rospy.init_node('get_camera_pose_image_auto')
# 初始化需要使用move group控制的机械臂中的arm group
arm = MoveGroupCommander('arm')
# 设置位置(单位：米)和姿态（单位：弧度）的允许误差
arm.set_goal_position_tolerance(0.001)
arm.set_goal_orientation_tolerance(0.001)
arm.set_max_velocity_scaling_factor(0.8)
arm.set_max_acceleration_scaling_factor(0.5)
arm.set_planning_time(0.5) # 规划时间限制为2秒
arm.allow_replanning(False) # 当运动规划失败后，是否允许重新规划
# 设置目标位置所使用的参考坐标系
reference_frame = 'base_link'
arm.set_pose_reference_frame(reference_frame)
# 获取终端link的名称
eef_link = arm.get_end_effector_link()
# 开始图像接收
image_receiver = ImageReceiver()
self.group = arm
self.eef_link = eef_link
self.reference_frame = reference_frame
self.moveit_commander = moveit_commander
self.listener = tf.TransformListener()
self.save_cnt = 0
print "\n\n[INFO] Pose image saver started."
def __init__(self):
# 初始化move_group的API
moveit_commander.roscpp_initialize(sys.argv)
# 初始化ROS节点
rospy.init_node('moveit_cartesian_demo', anonymous=True)
# 初始化需要使用move group控制的机械臂中的arm group
arm = MoveGroupCommander('arm')
robot = moveit_commander.RobotCommander()
# 设置目标位置所使用的参考坐标系
reference_frame = 'base_link'
arm.set_pose_reference_frame(reference_frame)
# 获取终端link的名称
eef_link = arm.get_end_effector_link()
scene = moveit_commander.PlanningSceneInterface()
scene_pub = rospy.Publisher('planning_scene',
PlanningScene,
queue_size=10)
print "[INFO] Current pose:\n", arm.get_current_pose().pose
self.scene = scene
self.scene_pub = scene_pub
self.colors = dict()
self.group = arm
self.robot = robot
self.eef_link = eef_link
self.reference_frame = reference_frame
self.moveit_commander = moveit_commander
def __init__(self):
# Initialize the move_group API
moveit_commander.roscpp_initialize(sys.argv)
rospy.init_node('start_pos')
# Use the planning scene object to add or remove objects
scene = PlanningSceneInterface()
# Create a scene publisher to push changes to the scene
self.scene_pub = rospy.Publisher('planning_scene',
PlanningScene,
queue_size=5)
# Create a publisher for displaying gripper poses
self.gripper_pose_pub = rospy.Publisher('gripper_pose',
PoseStamped,
queue_size=5)
# Create a dictionary to hold object colors
self.colors = dict()
# Initialize the move group for the right arm
right_arm = MoveGroupCommander(GROUP_NAME_ARM)
# Initialize the move group for the right gripper
right_gripper = MoveGroupCommander(GROUP_NAME_GRIPPER)
# Get the name of the end-effector link
end_effector_link = right_arm.get_end_effector_link()
# Allow some leeway in position (meters) and orientation (radians)
right_arm.set_goal_position_tolerance(0.05)
right_arm.set_goal_orientation_tolerance(0.1)
# Allow replanning to increase the odds of a solution
right_arm.allow_replanning(True)
# Set the right arm reference frame
right_arm.set_pose_reference_frame(REFERENCE_FRAME)
# Allow 10 seconds per planning attempt
right_arm.set_planning_time(10)
# Start the arm in the "resting" pose stored in the SRDF file
right_arm.set_named_target('right_start')
right_arm.go()
# Open the gripper to the neutral position
right_gripper.set_joint_value_target(GRIPPER_NEUTRAL)
right_gripper.go()
rospy.sleep(1)
# Shut down MoveIt cleanly
moveit_commander.roscpp_shutdown()
# Exit the script
moveit_commander.os._exit(0)
def __init__(self):
# 初始化move_group的API
moveit_commander.roscpp_initialize(sys.argv)
# 初始化ROS节点
rospy.init_node('moveit_cartesian_demo', anonymous=True)
# 初始化需要使用move group控制的机械臂中的arm group
arm = MoveGroupCommander('arm')
robot = moveit_commander.RobotCommander()
# 当运动规划失败后，允许重新规划
arm.allow_replanning(False)
# 设置目标位置所使用的参考坐标系
reference_frame = 'base_link'
arm.set_pose_reference_frame(reference_frame)
# 设置位置(单位：米)和姿态（单位：弧度）的允许误差
arm.set_goal_position_tolerance(0.001)
arm.set_goal_orientation_tolerance(0.01)
arm.set_max_velocity_scaling_factor(0.5)
arm.set_max_acceleration_scaling_factor(0.5)
arm.set_planning_time(0.08) # 规划时间限制为2秒
# arm.set_num_planning_attempts(1) # 规划1次
# 获取终端link的名称
eef_link = arm.get_end_effector_link()
scene = moveit_commander.PlanningSceneInterface()
scene_pub = rospy.Publisher('planning_scene', PlanningScene, queue_size=10)
print "[INFO] Current pose:\n", arm.get_current_pose().pose
self.scene = scene
self.scene_pub = scene_pub
self.colors = dict()
self.group = arm
self.robot = robot
self.eef_link = eef_link
self.reference_frame = reference_frame
self.moveit_commander = moveit_commander
self.broadcaster = tf.TransformBroadcaster()
self.listener = tf.TransformListener()
self.gripper_len = 0.095 # 手爪实际长度0.165m, 虚拟夹爪深度0.075m 0.16-0.065=0.095m
self.approach_distance = 0.06
self.back_distance = 0.05
# sub and pub point cloud
self.point_cloud = None
self.update_cloud_flag = False
rospy.Subscriber('/camera/depth/color/points', PointCloud2, self.callback_pointcloud)
thread.start_new_thread(self.publish_pointcloud, ())
def arm_pose():
arm = MoveGroupCommander('arm')
arm.allow_replanning(True)
end_effector_link = arm.get_end_effector_link()
arm.set_goal_position_tolerance(0.03)
arm.set_goal_orientation_tolerance(0.025)
arm.allow_replanning(True)
reference_frame = 'base_footprint'
arm.set_pose_reference_frame(reference_frame)
arm.set_planning_time(5)
curr_pose = arm.get_current_pose(end_effector_link).pose.position
return curr_pose.x, curr_pose.y, curr_pose.z
def markerPub():
# Create a marker publisher.
marker_puber = rospy.Publisher('end_effector_trail', Marker, queue_size=10)
rospy.init_node('markerPub', anonymous=True)
rate = rospy.Rate(10)
# Get the trails of the end effector from moveit API.
moveit_commander.roscpp_initialize(sys.argv)
right_arm = MoveGroupCommander('arm')
right_arm.set_pose_reference_frame('base_link')
# Init the Marker and clear the trails created before.
marker = Marker()
marker.points = []
marker.ns = "my_namespace"
marker.header.frame_id = 'base_link'
marker.id = 0
marker.type = 4
marker.action = Marker.ADD
marker.scale.x = 0.005
marker.scale.y = 0
marker.scale.z = 0
marker.color.a = 1.0
marker.color.r = 0
marker.color.g = 0
marker.color.b = 1
marker_puber.publish(marker)
# Publish trails contantly.
while not rospy.is_shutdown():
marker.header.stamp = rospy.Time().now()
# points and line type use marker.point and arrow et. use pose
marker.points.append(right_arm.get_current_pose().pose.position)
#marker.pose = right_arm.get_current_pose().pose.position
#marker.pose.orientation.x = 0
#marker.pose.orientation.y = 0
#marker.pose.orientation.z = 0
#marker.pose.orientation.w = 1
marker_puber.publish(marker)
rate.sleep()
# Exit the relevant process.
moveit_commander.roscpp_shutdown()
moveit_commander.os._exit(0)
def __init__(self):
# 初始化move_group的API
moveit_commander.roscpp_initialize(sys.argv)
# 初始化ROS节点
rospy.init_node('moveit_cartesian_demo', anonymous=True)
# 是否需要使用笛卡尔空间的运动规划
cartesian = rospy.get_param('~cartesian', True)
# 初始化需要使用move group控制的机械臂中的arm group
arm = MoveGroupCommander('arm')
robot = moveit_commander.RobotCommander()
# 当运动规划失败后，允许重新规划
arm.allow_replanning(False)
# 设置目标位置所使用的参考坐标系
reference_frame = 'base_link'
arm.set_pose_reference_frame(reference_frame)
# 设置位置(单位：米)和姿态（单位：弧度）的允许误差
arm.set_goal_position_tolerance(0.0001)
arm.set_goal_orientation_tolerance(0.0001)
arm.set_max_velocity_scaling_factor(0.5)
# 获取终端link的名称
eef_link = arm.get_end_effector_link()
scene = moveit_commander.PlanningSceneInterface()
print "[INFO] Current pose:", arm.get_current_pose(eef_link).pose
# 控制机械臂运动到之前设置的姿态
# arm.set_named_target('pick_6')
# arm.set_named_target('home')
# arm.go()
self.box_name = ''
self.scene = scene
self.group = arm
self.robot = robot
self.eef_link = eef_link
self.reference_frame = reference_frame
self.moveit_commander = moveit_commander
self.move_distance = 0.1
self.back_distance = 0.15
def __init__(self):
# 初始化move_group的API
moveit_commander.roscpp_initialize(sys.argv)
# 初始化ROS节点
rospy.init_node('moveit_cartesian_demo', anonymous=True)
# 是否需要使用笛卡尔空间的运动规划
cartesian = rospy.get_param('~cartesian', True)
# 初始化需要使用move group控制的机械臂中的arm group
arm = MoveGroupCommander('arm')
# 当运动规划失败后，允许重新规划
arm.allow_replanning(False)
# 设置目标位置所使用的参考坐标系
reference_frame = 'base_link'
arm.set_pose_reference_frame(reference_frame)
# 设置位置(单位：米)和姿态（单位：弧度）的允许误差
arm.set_goal_position_tolerance(0.001)
arm.set_goal_orientation_tolerance(0.01)
arm.set_max_velocity_scaling_factor(0.8)
arm.set_max_acceleration_scaling_factor(0.5)
arm.set_planning_time(1) # 规划时间限制为2秒
arm.set_num_planning_attempts(2) # 规划两次
# 获取终端link的名称
eef_link = arm.get_end_effector_link()
scene = moveit_commander.PlanningSceneInterface()
print arm.get_current_pose(eef_link).pose
sub = rospy.Subscriber('/detect_grasps_yolo/juggle_rects',
Float64MultiArray, self.callback)
self.juggle_rects = Float64MultiArray()
self.box_name = ''
self.scene = scene
self.group = arm
self.eef_link = eef_link
self.reference_frame = reference_frame
self.moveit_commander = moveit_commander
self.move_distance = 0.1
self.back_distance = 0.15
def __init__(self):
# 初始化move_group的API
moveit_commander.roscpp_initialize(sys.argv)
# 初始化ROS节点
rospy.init_node('moveit_cartesian_demo', anonymous=True)
# 初始化需要使用move group控制的机械臂中的arm group
arm = MoveGroupCommander('arm')
# 当运动规划失败后，允许重新规划
arm.allow_replanning(False)
# 设置目标位置所使用的参考坐标系
reference_frame = 'base_link'
arm.set_pose_reference_frame(reference_frame)
# 设置位置(单位：米)和姿态（单位：弧度）的允许误差
arm.set_goal_position_tolerance(0.001)
arm.set_goal_orientation_tolerance(0.01)
arm.set_max_velocity_scaling_factor(0.4)
arm.set_max_acceleration_scaling_factor(0.5)
arm.set_planning_time(0.1) # 规划时间限制为2秒
# arm.set_num_planning_attempts(1) # 规划1次
# 获取终端link的名称
eef_link = arm.get_end_effector_link()
scene = moveit_commander.PlanningSceneInterface()
print "[INFO] Current pose:\n", arm.get_current_pose().pose
self.box_name = ''
self.scene = scene
self.group = arm
self.eef_link = eef_link
self.reference_frame = reference_frame
self.moveit_commander = moveit_commander
self.broadcaster = tf.TransformBroadcaster()
self.listener = tf.TransformListener()
self.gripper_len = 0.082 # 手爪实际长度0.165m, 虚拟夹爪深度0.075m 0.16-0.075=0.085m
self.approach_distance = 0.05
self.back_distance = 0.05
def talker_by13():
#init
moveit_commander.roscpp_initialize(sys.argv)
rospy.init_node('moveit_fk_demo')
#cartesian = rospy.get_param('~cartesian', True)
arm = MoveGroupCommander('manipulator')
arm.set_pose_reference_frame('base_link')
arm.allow_replanning(True)
arm.set_goal_position_tolerance(0.001)
arm.set_goal_orientation_tolerance(0.001)
# arm.set_max_acceleration_scaling_factor(0.5)
#arm.set_max_velocity_scaling_factor(0.5)
end_effector_link = arm.get_end_effector_link()
#arm.set_named_target('home')
arm.set_named_target('up')
arm.go()
rospy.sleep(2)
target_pose = PoseStamped()
target_pose.header.frame_id = 'base_link'
target_pose.header.stamp = rospy.Time.now()
target_pose.pose.position.x = 0.86
target_pose.pose.position.y = 0.25
target_pose.pose.position.z = 0.02832
target_pose.pose.orientation.x = 0
target_pose.pose.orientation.y = 0
target_pose.pose.orientation.z = 0
target_pose.pose.orientation.w = 1
#next: find workspace
arm.set_start_state_to_current_state()
arm.set_pose_target(target_pose, end_effector_link)
traj = arm.plan()
arm.execute(traj)
#arm.shift_pose_target(2,-0.05,end_effector_link)
#arm.go()
rospy.sleep(2)
moveit_commander.roscpp_shutdown()
moveit_commander.os._exit(0)
class Tiago():
def __init__(self, group_name='arm_torso'):
self.rate = rospy.Rate(10)
self.robot = RobotCommander()
rospy.sleep(1)
self.move_group = MoveGroupCommander(group_name)
self.velocity = Twist()
self.velocity_publisher = rospy.Publisher(
'/mobile_base_controller/cmd_vel', Twist, queue_size=10)
def move(self, linear=(0, 0, 0), angular=(0, 0, 0)):
self.velocity.linear.x = linear[
0] # Forward or Backward with in m/sec.
self.velocity.linear.y = linear[1]
self.velocity.linear.z = linear[2]
self.velocity.angular.x = angular[0]
self.velocity.angular.y = angular[1]
self.velocity.angular.z = angular[
2] # Anti-clockwise/clockwise in radians per sec
self.velocity_publisher.publish(self.velocity)
def send_arm_goal(self, frame_id='base_footprint'):
# SET EEF GOAL
goal_pose = PoseStamped()
goal_pose.header.frame_id = 'base_footprint'
goal_pose.pose.position.x = 0.55
goal_pose.pose.position.y = -0.30
goal_pose.pose.position.z = 0.76
goal_pose.pose.orientation = Quaternion(
*quaternion_from_euler(PI / 2, 0.0, 0.0))
# SEND GOAL
self.move_group.set_pose_reference_frame(frame_id)
self.move_group.set_pose_target(goal_pose)
# EXECUTE EEF GOAL
# print(dir(self.move_group))
self.move_group.go()
def __init__(self):
# 初始化move_group的API
moveit_commander.roscpp_initialize(sys.argv)
# 初始化ROS节点
rospy.init_node('moveit_pick_and_place_demo')
# 初始化需要使用move group控制的机械臂中的arm group
arm = MoveGroupCommander(GROUP_NAME_ARM)
self.arm = arm
# 设置位置(单位：米)和姿态（单位：弧度）的允许误差
arm.set_goal_position_tolerance(0.01)
arm.set_goal_orientation_tolerance(0.01)
# 当运动规划失败后，允许重新规划
arm.allow_replanning(True)
# 设置目标位置所使用的参考坐标系
arm.set_pose_reference_frame(REFERENCE_FRAME)
def __init__(self):
# Initialize the move_group API
moveit_commander.roscpp_initialize(sys.argv)
rospy.init_node('moveit_pick_and_place_demo')
# Use the planning scene object to add or remove objects
scene = PlanningSceneInterface()
# Create a scene publisher to push changes to the scene
self.scene_pub = rospy.Publisher('planning_scene', PlanningScene)
# Create a publisher for displaying gripper poses
self.gripper_pose_pub = rospy.Publisher('gripper_pose', PoseStamped)
# Create a dictionary to hold object colors
self.colors = dict()
# Initialize the move group for the right arm
arm = MoveGroupCommander(GROUP_NAME_ARM)
# Initialize the move group for the right gripper
gripper = MoveGroupCommander(GROUP_NAME_GRIPPER)
# Get the name of the end-effector link
end_effector_link = arm.get_end_effector_link()
# Allow some leeway in position (meters) and orientation (radians)
arm.set_goal_position_tolerance(0.05)
arm.set_goal_orientation_tolerance(0.1)
# Allow replanning to increase the odds of a solution
arm.allow_replanning(True)
# Set the right arm reference frame
arm.set_pose_reference_frame(REFERENCE_FRAME)
# Allow 5 seconds per planning attempt
arm.set_planning_time(5)
def __init__(self):
# 初始化move_group的API
moveit_commander.roscpp_initialize(sys.argv)
# 初始化ROS节点
rospy.init_node('moveit_cartesian_demo', anonymous=True)
# 初始化需要使用move group控制的机械臂中的arm group
arm = MoveGroupCommander('arm')
robot = moveit_commander.RobotCommander()
# 当运动规划失败后，允许重新规划
arm.allow_replanning(False)
# 设置目标位置所使用的参考坐标系
reference_frame = 'base_link'
arm.set_pose_reference_frame(reference_frame)
# 设置位置(单位：米)和姿态（单位：弧度）的允许误差
arm.set_goal_position_tolerance(0.0001)
arm.set_goal_orientation_tolerance(0.0001)
arm.set_max_velocity_scaling_factor(1.0)
arm.set_planning_time(0.05) # 规划时间限制
# 获取终端link的名称
eef_link = arm.get_end_effector_link()
print "[INFO] Current pose:", arm.get_current_pose(eef_link).pose
# 控制机械臂运动到之前设置的姿态
arm.set_named_target('work')
arm.go()
self.group = arm
self.robot = robot
self.eef_link = eef_link
self.reference_frame = reference_frame
self.moveit_commander = moveit_commander
def __init__(self):
# Initialize the move_group API
moveit_commander.roscpp_initialize(sys.argv)
rospy.init_node('moveit_demo')
# Construct the initial scene object
scene = PlanningSceneInterface()
# Create a scene publisher to push changes to the scene
self.scene_pub = rospy.Publisher('planning_scene', PlanningScene)
# Create a dictionary to hold object colors
self.colors = dict()
# Pause for the scene to get ready
rospy.sleep(1)
# Initialize the move group for the right arm
right_arm = MoveGroupCommander('right_arm')
# Initialize the move group for the left arm
left_arm = MoveGroupCommander('left_arm')
right_arm.set_planner_id("KPIECEkConfigDefault");
left_arm.set_planner_id("KPIECEkConfigDefault");
rospy.sleep(1)
# Get the name of the end-effector link
end_effector_link = right_arm.get_end_effector_link()
# Allow some leeway in position (meters) and orientation (radians)
right_arm.set_goal_position_tolerance(0.01)
right_arm.set_goal_orientation_tolerance(0.05)
# Allow replanning to increase the odds of a solution
right_arm.allow_replanning(True)
# Set the reference frame for pose targets
reference_frame = 'base_footprint'
# Set the right arm reference frame accordingly
right_arm.set_pose_reference_frame(reference_frame)
# Allow 5 seconds per planning attempt
right_arm.set_planning_time(5)
# Give each of the scene objects a unique name
table_id = 'table'
box1_id = 'box1'
box2_id = 'box2'
# Remove leftover objects from a previous run
scene.remove_world_object(table_id)
scene.remove_world_object(box1_id)
scene.remove_world_object(box2_id)
# Give the scene a chance to catch up
rospy.sleep(1)
# Start the arm in the "resting" pose stored in the SRDF file
#left_arm.set_named_target('left_start')
#left_arm.go()
# Start the arm in the "resting" pose stored in the SRDF file
right_arm.set_named_target('right_start')
right_arm.go()
rospy.sleep(2)
# Set the height of the table off the ground
table_ground = 0.75
# Set the length, width and height of the table and boxes
table_size = [0.2, 0.7, 0.01]
box1_size = [0.1, 0.05, 0.05]
box2_size = [0.05, 0.05, 0.15]
# Add a table top and two boxes to the scene
table_pose = PoseStamped()
table_pose.header.frame_id = reference_frame
table_pose.pose.position.x = 0.56
table_pose.pose.position.y = 0.0
table_pose.pose.position.z = table_ground + table_size[2] / 2.0
table_pose.pose.orientation.w = 1.0
scene.add_box(table_id, table_pose, table_size)
box1_pose = PoseStamped()
box1_pose.header.frame_id = reference_frame
box1_pose.pose.position.x = 0.51
box1_pose.pose.position.y = -0.1
box1_pose.pose.position.z = table_ground + table_size[2] + box1_size[2] / 2.0
box1_pose.pose.orientation.w = 1.0
scene.add_box(box1_id, box1_pose, box1_size)
box2_pose = PoseStamped()
box2_pose.header.frame_id = reference_frame
box2_pose.pose.position.x = 0.49
box2_pose.pose.position.y = 0.15
box2_pose.pose.position.z = table_ground + table_size[2] + box2_size[2] / 2.0
box2_pose.pose.orientation.w = 1.0
scene.add_box(box2_id, box2_pose, box2_size)
# Make the table red and the boxes orange
self.setColor(table_id, 0.8, 0, 0, 1.0)
self.setColor(box1_id, 0.8, 0.4, 0, 1.0)
self.setColor(box2_id, 0.8, 0.4, 0, 1.0)
# Send the colors to the planning scene
self.sendColors()
# Set the target pose in between the boxes and above the table
target_pose = PoseStamped()
target_pose.header.frame_id = reference_frame
target_pose.pose.position.x = 0.4
target_pose.pose.position.y = 0.0
target_pose.pose.position.z = table_pose.pose.position.z + table_size[2] + 0.05
target_pose.pose.orientation.w = 1.0
# Set the target pose for the arm
right_arm.set_pose_target(target_pose, end_effector_link)
# Move the arm to the target pose (if possible)
right_arm.go()
# Pause for a moment...
rospy.sleep(2)
# Return the arm to the "resting" pose stored in the SRDF file
right_arm.set_named_target('right_start')
right_arm.go()
# Exit MoveIt cleanly
moveit_commander.roscpp_shutdown()
# Exit the script
moveit_commander.os._exit(0)
def __init__(self):
# 初始化move_group的API
moveit_commander.roscpp_initialize(sys.argv)
# 初始化ROS节点
rospy.init_node('TCP_Move', anonymous=True)
# 是否需要使用笛卡尔空间的运动规划
cartesian = rospy.get_param('~cartesian', True)
# 初始化需要使用move group控制的机械臂中的arm group
arm = MoveGroupCommander('xarm6')
# 当运动规划失败后，允许重新规划
arm.allow_replanning(True)
# 设置目标位置所使用的参考坐标系
arm.set_pose_reference_frame('link_base')
# 设置位置(单位：米)和姿态（单位：弧度）的允许误差
arm.set_goal_position_tolerance(0.001)
arm.set_goal_orientation_tolerance(0.001)
# 设置允许的最大速度和加速度
arm.set_max_acceleration_scaling_factor(0.1)
arm.set_max_velocity_scaling_factor(0.1)
# 获取终端link的名称
end_effector_link = arm.get_end_effector_link()
# 控制机械臂先回到初始化位置
arm.set_named_target('home')
arm.go()
rospy.sleep(1)
# 角度弧度转换
j1 = 90.0 / 180 * math.pi
j2 = -18.6 / 180 * math.pi
j3 = -28.1 / 180 * math.pi
j4 = 1.0 / 180 * math.pi
j5 = 47.6 / 180 * math.pi
j6 = -0.9 / 180 * math.pi
# 设置机械臂的目标位置，使用六轴的位置数据进行描述（单位：弧度）
joint_positions = [j1, j2, j3, j4, j5, j6]
arm.set_joint_value_target(joint_positions)
arm.go()
rospy.sleep(1)
# 向下按压门把手
current_pose = arm.get_current_joint_values()
current_pose[4] += (20.0 / 180.0) * math.pi
arm.set_joint_value_target(current_pose)
arm.go()
rospy.sleep(1)
#推开门
current_pose = arm.get_current_joint_values()
current_pose[0] -= (42.0 / 180.0) * math.pi
current_pose[1] += (2.0 / 180.0) * math.pi
current_pose[2] -= (11.4 / 180.0) * math.pi
arm.set_joint_value_target(current_pose)
arm.go()
rospy.sleep(1)
# 控制机械臂先回到初始化位置
arm.set_named_target('home')
arm.go()
rospy.sleep(1)
# 关闭并退出moveit
moveit_commander.roscpp_shutdown()
moveit_commander.os._exit(0)
def __init__(self):
# 初始化move_group的API
moveit_commander.roscpp_initialize(sys.argv)
# 初始化ROS节点
rospy.init_node('moveit_cartesian_demo', anonymous=True)
# 是否需要使用笛卡尔空间的运动规划
cartesian = rospy.get_param('~cartesian', True)
# 初始化需要使用move group控制的机械臂中的arm group
arm = MoveGroupCommander('manipulator')
# 当运动规划失败后，允许重新规划
arm.allow_replanning(True)
# 设置目标位置所使用的参考坐标系
arm.set_pose_reference_frame('base_link')
# 设置位置(单位：米)和姿态（单位：弧度）的允许误差
arm.set_goal_position_tolerance(0.2)
arm.set_goal_orientation_tolerance(0.1)
# 设置允许的最大速度和加速度
arm.set_max_acceleration_scaling_factor(0.1)
arm.set_max_velocity_scaling_factor(0.1)
# 获取终端link的名称
end_effector_link = arm.get_end_effector_link()
print(end_effector_link)
# 控制机械臂先回到初始化位置
# 获取当前位姿数据最为机械臂运动的起始位姿
start_pose = arm.get_current_pose(end_effector_link).pose
print(start_pose)
# 初始化路点列表
waypoints = []
os.system("rosrun pick_test send_gripper.py --value 0.0")
# 将初始位姿加入路点列表
# arm.set_named_target('test5')
# arm.go()
# rospy.sleep(1)
######
marker = rospy.Subscriber("/ar_pose_marker", AlvarMarkers, getCarrot)
listener = tf.TransformListener()
r = rospy.Rate(10)
while not rospy.is_shutdown():
try:
(trans,
rot) = listener.lookupTransform('/base_link', '/ar_marker_4',
rospy.Time(0))
break
except (tf.LookupException, tf.ConnectivityException,
tf.ExtrapolationException):
continue
######
# 设置路点数据，并加入路点列表
wpose = deepcopy(start_pose)
print carrot
wpose.position.z -= carrot.z
waypoints.append(deepcopy(wpose))
# wpose.position.z -= carrot.z+0.1
# wpose.position.y += carrot.y
# waypoints.append(deepcopy(wpose))
fraction = 0.0 #路径规划覆盖率
maxtries = 100 #最大尝试规划次数
attempts = 0 #已经尝试规划次数
# 设置机器臂当前的状态作为运动初始状态
arm.set_start_state_to_current_state()
# 尝试规划一条笛卡尔空间下的路径，依次通过所有路点
while fraction < 1.0 and attempts < maxtries:
(plan, fraction) = arm.compute_cartesian_path(
waypoints, # waypoint poses，路点列表
0.01, # eef_step，终端步进值
0.0, # jump_threshold，跳跃阈值
True) # avoid_collisions，避障规划
# 尝试次数累加
attempts += 1
# 打印运动规划进程
if attempts % 10 == 0:
rospy.loginfo("Still trying after " + str(attempts) +
" attempts...")
# 如果路径规划成功（覆盖率100%）,则开始控制机械臂运动
if fraction == 1.0:
rospy.loginfo("Path computed successfully. Moving the arm.")
arm.execute(plan)
rospy.loginfo("Path execution complete.")
# 如果路径规划失败，则打印失败信息
else:
rospy.loginfo("Path planning failed with only " + str(fraction) +
" success after " + str(maxtries) + " attempts.")
rospy.sleep(1)
if fraction < 1.0:
moveit_commander.roscpp_shutdown()
moveit_commander.os._exit(0)
# 控制机械臂先回到初始化位置
waypoints = []
test_pose = arm.get_current_pose(end_effector_link).pose
wpose = deepcopy(test_pose)
wpose.position.x -= carrot.x + 0.03
waypoints.append(deepcopy(wpose))
fraction = 0.0 #路径规划覆盖率
maxtries = 100 #最大尝试规划次数
attempts = 0 #已经尝试规划次数
# 设置机器臂当前的状态作为运动初始状态
arm.set_start_state_to_current_state()
# 尝试规划一条笛卡尔空间下的路径，依次通过所有路点
while fraction < 1.0 and attempts < maxtries:
(plan, fraction) = arm.compute_cartesian_path(
waypoints, # waypoint poses，路点列表
0.02, # eef_step，终端步进值
0.0, # jump_threshold，跳跃阈值
True) # avoid_collisions，避障规划
# 尝试次数累加
attempts += 1
# 打印运动规划进程
if attempts % 10 == 0:
rospy.loginfo("Still trying after " + str(attempts) +
" attempts...")
# 如果路径规划成功（覆盖率100%）,则开始控制机械臂运动
if fraction == 1.0:
rospy.loginfo("Path computed successfully. Moving the arm.")
arm.execute(plan)
rospy.loginfo("Path execution complete.")
# 如果路径规划失败，则打印失败信息
else:
rospy.loginfo("Path planning failed with only " + str(fraction) +
" success after " + str(maxtries) + " attempts.")
rospy.sleep(1)
if fraction < 1.0:
moveit_commander.roscpp_shutdown()
moveit_commander.os._exit(0)
########
os.system("rosrun pick_test send_gripper.py --value 0.8")
########
waypoints = []
pick_pose = arm.get_current_pose(end_effector_link).pose
wpose = deepcopy(pick_pose)
wpose.position.z += 0.1
waypoints.append(deepcopy(wpose))
fraction = 0.0 #路径规划覆盖率
maxtries = 100 #最大尝试规划次数
attempts = 0 #已经尝试规划次数
# 设置机器臂当前的状态作为运动初始状态
arm.set_start_state_to_current_state()
# 尝试规划一条笛卡尔空间下的路径，依次通过所有路点
while fraction < 1.0 and attempts < maxtries:
(plan, fraction) = arm.compute_cartesian_path(
waypoints, # waypoint poses，路点列表
0.02, # eef_step，终端步进值
0.0, # jump_threshold，跳跃阈值
True) # avoid_collisions，避障规划
# 尝试次数累加
attempts += 1
# 打印运动规划进程
if attempts % 10 == 0:
rospy.loginfo("Still trying after " + str(attempts) +
" attempts...")
# 如果路径规划成功（覆盖率100%）,则开始控制机械臂运动
if fraction == 1.0:
rospy.loginfo("Path computed successfully. Moving the arm.")
arm.execute(plan)
rospy.loginfo("Path execution complete.")
# 如果路径规划失败，则打印失败信息
else:
rospy.loginfo("Path planning failed with only " + str(fraction) +
" success after " + str(maxtries) + " attempts.")
rospy.sleep(1)
if fraction < 1.0:
moveit_commander.roscpp_shutdown()
moveit_commander.os._exit(0)
# 关闭并退出moveit
moveit_commander.roscpp_shutdown()
moveit_commander.os._exit(0)
def __init__(self):
# Initialize the move_group API
moveit_commander.roscpp_initialize(sys.argv)
rospy.init_node('moveit_demo')
# Use the planning scene object to add or remove objects
scene = PlanningSceneInterface()
# Create a scene publisher to push changes to the scene
self.scene_pub = rospy.Publisher('planning_scene',
PlanningScene,
queue_size=5)
# Create a publisher for displaying gripper poses
self.gripper_pose_pub = rospy.Publisher('gripper_pose',
PoseStamped,
queue_size=5)
# Create a dictionary to hold object colors
self.colors = dict()
# Initialize the move group for the arm
arm = MoveGroupCommander(GROUP_NAME_ARM)
# Initialize the move group for the gripper
gripper = MoveGroupCommander(GROUP_NAME_GRIPPER)
# Get the name of the end-effector link
end_effector_link = arm.get_end_effector_link()
# Allow some leeway in position (meters) and orientation (radians)
arm.set_goal_position_tolerance(0.05)
arm.set_goal_orientation_tolerance(0.1)
# Allow replanning to increase the odds of a solution
arm.allow_replanning(True)
# Set the right arm reference frame
arm.set_pose_reference_frame(REFERENCE_FRAME)
# Allow 5 seconds per planning attempt
arm.set_planning_time(5)
# Set a limit on the number of pick attempts before bailing
max_pick_attempts = 5
# Set a limit on the number of place attempts
max_place_attempts = 5
# Give the scene a chance to catch up
rospy.sleep(2)
# Give each of the scene objects a unique name
table_id = 'table'
box1_id = 'box1'
box2_id = 'box2'
target_id = 'target'
tool_id = 'tool'
# Remove leftover objects from a previous run
scene.remove_world_object(table_id)
scene.remove_world_object(box1_id)
scene.remove_world_object(box2_id)
scene.remove_world_object(target_id)
scene.remove_world_object(tool_id)
# Remove any attached objects from a previous session
scene.remove_attached_object(GRIPPER_FRAME, target_id)
# Give the scene a chance to catch up
rospy.sleep(1)
# Start the arm in the "grasp" pose stored in the SRDF file
arm.set_named_target('left_arm_up')
arm.go()
# Open the gripper to the neutral position
gripper.set_joint_value_target(GRIPPER_OPEN)
gripper.go()
rospy.sleep(1)
# Set the height of the table off the ground
table_ground = 0.04
# Set the dimensions of the scene objects [l, w, h]
table_size = [0.2, 0.7, 0.01]
box1_size = [0.1, 0.05, 0.05]
box2_size = [0.05, 0.05, 0.15]
# Set the target size [l, w, h]
target_size = [0.02, 0.01, 0.12]
# Add a table top and two boxes to the scene
table_pose = PoseStamped()
table_pose.header.frame_id = REFERENCE_FRAME
table_pose.pose.position.x = 0.25
table_pose.pose.position.y = 0.0
table_pose.pose.position.z = table_ground + table_size[2] / 2.0
table_pose.pose.orientation.w = 1.0
scene.add_box(table_id, table_pose, table_size)
box1_pose = PoseStamped()
box1_pose.header.frame_id = REFERENCE_FRAME
box1_pose.pose.position.x = 0.21
box1_pose.pose.position.y = -0.1
box1_pose.pose.position.z = table_ground + table_size[
2] + box1_size[2] / 2.0
box1_pose.pose.orientation.w = 1.0
#scene.add_box(box1_id, box1_pose, box1_size)
box2_pose = PoseStamped()
box2_pose.header.frame_id = REFERENCE_FRAME
box2_pose.pose.position.x = 0.19
box2_pose.pose.position.y = 0.13
box2_pose.pose.position.z = table_ground + table_size[
2] + box2_size[2] / 2.0
box2_pose.pose.orientation.w = 1.0
#scene.add_box(box2_id, box2_pose, box2_size)
# Set the target pose in between the boxes and on the table
target_pose = PoseStamped()
target_pose.header.frame_id = REFERENCE_FRAME
target_pose.pose.position.x = 0.24
target_pose.pose.position.y = 0.275
target_pose.pose.position.z = table_ground + table_size[
2] + target_size[2] / 2.0
target_pose.pose.orientation.w = 1.0
# Add the target object to the scene
scene.add_box(target_id, target_pose, target_size)
# Make the table blue and the boxes orange
self.setColor(table_id, 0, 0, 0.8, 1.0)
self.setColor(box1_id, 0.8, 0.4, 0, 1.0)
self.setColor(box2_id, 0.8, 0.4, 0, 1.0)
# Make the target yellow
self.setColor(target_id, 0.9, 0.9, 0, 1.0)
# Send the colors to the planning scene
self.sendColors()
# Set the support surface name to the table object
arm.set_support_surface_name(table_id)
# Specify a pose to place the target after being picked up
place_pose = PoseStamped()
place_pose.header.frame_id = REFERENCE_FRAME
place_pose.pose.position.x = 0.18
place_pose.pose.position.y = 0
place_pose.pose.position.z = table_ground + table_size[
2] + target_size[2] / 2.0
place_pose.pose.orientation.w = 1.0
# Initialize the grasp pose to the target pose
grasp_pose = target_pose
# Shift the grasp pose by half the width of the target to center it
#grasp_pose.pose.position.y -= target_size[1] / 2.0
grasp_pose.pose.position.x = 0.12792118579 + .1
grasp_pose.pose.position.y = 0.285290879999 + 0.05
grasp_pose.pose.position.z = 0.120301181892
#grasp_pose.pose.orientation =
# Generate a list of grasps
grasps = self.make_grasps(grasp_pose, [target_id, table_id])
# Publish the grasp poses so they can be viewed in RViz
for grasp in grasps:
self.gripper_pose_pub.publish(grasp.grasp_pose)
rospy.sleep(0.2)
break
# Track success/failure and number of attempts for pick operation
result = None
n_attempts = 0
# Repeat until we succeed or run out of attempts
while result != MoveItErrorCodes.SUCCESS and n_attempts < max_pick_attempts:
n_attempts += 1
rospy.loginfo("Pick attempt: " + str(n_attempts))
result = arm.pick(target_id, grasps)
rospy.sleep(0.2)
# If the pick was successful, attempt the place operation
if result == MoveItErrorCodes.SUCCESS:
result = None
n_attempts = 0
# Generate valid place poses
places = self.make_places(place_pose)
# Repeat until we succeed or run out of attempts
while result != MoveItErrorCodes.SUCCESS and n_attempts < max_place_attempts:
n_attempts += 1
rospy.loginfo("Place attempt: " + str(n_attempts))
for place in places:
result = arm.place(target_id, place)
if result == MoveItErrorCodes.SUCCESS:
break
rospy.sleep(0.2)
if result != MoveItErrorCodes.SUCCESS:
rospy.loginfo("Place operation failed after " +
str(n_attempts) + " attempts.")
else:
# Return the arm to the "resting" pose stored in the SRDF file
arm.set_named_target('left_arm_rest')
arm.go()
# Open the gripper to the open position
gripper.set_joint_value_target(GRIPPER_OPEN)
gripper.go()
else:
rospy.loginfo("Pick operation failed after " + str(n_attempts) +
" attempts.")
rospy.sleep(1)
# Shut down MoveIt cleanly
moveit_commander.roscpp_shutdown()
# Exit the script
moveit_commander.os._exit(0)
def __init__(self):
# Initialize the move_group API
moveit_commander.roscpp_initialize(sys.argv)
# Initialize the ROS node
rospy.init_node('moveit_demo', anonymous=True)
cartesian = rospy.get_param('~cartesian', True)
# Connect to the arm move group
arm = MoveGroupCommander('robot')
gripper = MoveGroupCommander("gripper")
# Allow replanning to increase the odds of a solution
arm.allow_replanning(True)
# Set the right arm reference frame
arm.set_pose_reference_frame('base_link')
# Allow some leeway in position(meters) and orientation (radians)
# arm.set_goal_position_tolerance(0.01)
# arm.set_goal_orientation_tolerance(0.1)
arm.set_goal_position_tolerance(0.01)
arm.set_goal_orientation_tolerance(0.1) #(0.523599)
# Get the name of the end-effector link
end_effector_link = arm.get_end_effector_link()
gripper.set_named_target("GripperOpen")
gripper.go(wait=True)
rospy.sleep(3) #5
gripper.set_named_target("GripperClose")
gripper.go(wait=True)
rospy.sleep(1)
# # Start in the "cartesian_z" (demo) configuration stored in the SRDF file
arm.set_named_target('cartesian_z')
# # Plan and execute a trajectory to the goal configuration
arm.go(wait=True)
rospy.sleep(5)
# Execute the position again in order to start from there - !!!!workaround
# arm.set_named_target('cartesian_z')
# arm.go(wait=True)
# Get the current pose so we can add it as a waypoint
start_pose = arm.get_current_pose(end_effector_link).pose
# Initialize the waypoints list
waypoints = []
# Set the first waypoint to be the starting pose
if cartesian:
# Append the pose to the waypoints list
waypoints.append(start_pose)
wpose = deepcopy(start_pose)
# Set the next waypoint back 0.2 meters and right 0.2 meters
wpose.position.x -= 0.0 #05#0.01
wpose.position.y -= 0.0
wpose.position.z -= 0.25
if cartesian:
# Append the pose to the waypoints list
waypoints.append(deepcopy(wpose))
else:
arm.set_pose_target(wpose)
arm.go()
rospy.sleep(1)
# Set the next waypoint to the right 0.15 meters
wpose.position.x += 0.0 #0.05#0.01
wpose.position.y += 0.0
wpose.position.z += 0.38
if cartesian:
# Append the pose to the waypoints list
waypoints.append(deepcopy(wpose))
else:
arm.set_pose_target(wpose)
arm.go()
rospy.sleep(1)
# Set the next waypoint to the right 0.15 meters
wpose.position.x += 0.0 #0.05#0.01
wpose.position.y += 0.0
wpose.position.z -= 0.38
if cartesian:
# Append the pose to the waypoints list
waypoints.append(deepcopy(start_pose))
else:
arm.set_pose_target(start_pose)
arm.go()
rospy.sleep(1)
wpose.position.x += 0.0
wpose.position.y += 0.0
wpose.position.z += 0.25
if cartesian:
# Append the pose to the waypoints list
waypoints.append(deepcopy(start_pose))
else:
arm.set_pose_target(start_pose)
arm.go()
rospy.sleep(1)
if cartesian:
fraction = 0.0
maxtries = 100 #100
attempts = 0
# Set the internal state to the current state
arm.set_start_state_to_current_state()
# Plan the Cartesian path connecting the waypoints
while fraction < 1.0 and attempts < maxtries:
(plan, fraction) = arm.compute_cartesian_path(
waypoints, # waypoint poses
0.01, # eef_step
0.0, # jump_threshold
True) # avoid_collisions
# Increment the number of attempts
attempts += 1
# Print out a progress message
if attempts % 10 == 0:
rospy.loginfo("Still trying after " + str(attempts) +
" attempts...")
# If we have a complete plan, execute the trajectory
if fraction == 1.0:
rospy.loginfo("Path computed successfully. Moving the arm.")
arm.execute(plan, wait=True)
rospy.loginfo("Path execution complete.")
else:
rospy.loginfo("Path planning failed with only " +
str(fraction) + " success after " +
str(maxtries) + " attempts.")
# Move normally back to the 'transport_position' position
# arm.set_named_target('cartesian_z')
# arm.go(wait=True)
rospy.sleep(22)
arm.set_named_target('transport_position')
arm.go(wait=True)
rospy.sleep(27)
gripper.set_named_target("GripperOpen")
gripper.go(wait=True)
rospy.sleep(5)
gripper.set_named_target("GripperClose")
gripper.go(wait=True)
rospy.sleep(5)
arm.set_named_target('transport_position')
arm.go(wait=True)
rospy.sleep(27)
# Shut down MoveIt cleanly
moveit_commander.roscpp_shutdown()
# Exit MoveIt
moveit_commander.os._exit(0)
class SrRobotCommander(object):
"""
Base class for hand and arm commanders
"""
def __init__(self, name):
"""
Initialize MoveGroupCommander object
@param name - name of the MoveIt group
"""
self._name = name
self._move_group_commander = MoveGroupCommander(name)
self._robot_commander = RobotCommander()
self._robot_name = self._robot_commander._r.get_robot_name()
self.refresh_named_targets()
self._warehouse_name_get_srv = rospy.ServiceProxy(
"get_robot_state", GetState)
self._planning_scene = PlanningSceneInterface()
self._joint_states_lock = threading.Lock()
self._joint_states_listener = \
rospy.Subscriber("joint_states", JointState,
self._joint_states_callback, queue_size=1)
self._joints_position = {}
self._joints_velocity = {}
self._joints_effort = {}
self._joints_state = None
self._clients = {}
self.__plan = None
self._controllers = {}
rospy.wait_for_service('compute_ik')
self._compute_ik = rospy.ServiceProxy('compute_ik', GetPositionIK)
self._forward_k = rospy.ServiceProxy('compute_fk', GetPositionFK)
controller_list_param = rospy.get_param("/move_group/controller_list")
# create dictionary with name of controllers and corresponding joints
self._controllers = {
item["name"]: item["joints"]
for item in controller_list_param
}
self._set_up_action_client(self._controllers)
self.tf_buffer = tf2_ros.Buffer()
self.listener = tf2_ros.TransformListener(self.tf_buffer)
threading.Thread(None, rospy.spin)
def set_planner_id(self, planner_id):
self._move_group_commander.set_planner_id(planner_id)
def set_num_planning_attempts(self, num_planning_attempts):
self._move_group_commander.set_num_planning_attempts(
num_planning_attempts)
def set_planning_time(self, seconds):
self._move_group_commander.set_planning_time(seconds)
def get_end_effector_pose_from_named_state(self, name):
state = self._warehouse_name_get_srv(name, self._robot_name).state
return self.get_end_effector_pose_from_state(state)
def get_end_effector_pose_from_state(self, state):
header = Header()
fk_link_names = [self._move_group_commander.get_end_effector_link()]
header.frame_id = self._move_group_commander.get_pose_reference_frame()
response = self._forward_k(header, fk_link_names, state)
return response.pose_stamped[0]
def get_planning_frame(self):
return self._move_group_commander.get_planning_frame()
def set_pose_reference_frame(self, reference_frame):
self._move_group_commander.set_pose_reference_frame(reference_frame)
def get_group_name(self):
return self._name
def refresh_named_targets(self):
self._srdf_names = self.__get_srdf_names()
self._warehouse_names = self.__get_warehouse_names()
def set_max_velocity_scaling_factor(self, value):
self._move_group_commander.set_max_velocity_scaling_factor(value)
def set_max_acceleration_scaling_factor(self, value):
self._move_group_commander.set_max_acceleration_scaling_factor(value)
def allow_looking(self, value):
self._move_group_commander.allow_looking(value)
def allow_replanning(self, value):
self._move_group_commander.allow_replanning(value)
def execute(self):
"""
Executes the last plan made.
"""
if self.check_plan_is_valid():
self._move_group_commander.execute(self.__plan)
self.__plan = None
else:
rospy.logwarn("No plans were made, not executing anything.")
def execute_plan(self, plan):
if self.check_given_plan_is_valid(plan):
self._move_group_commander.execute(plan)
self.__plan = None
else:
rospy.logwarn("Plan is not valid, not executing anything.")
def move_to_joint_value_target(self,
joint_states,
wait=True,
angle_degrees=False):
"""
Set target of the robot's links and moves to it.
@param joint_states - dictionary with joint name and value. It can
contain only joints values of which need to be changed.
@param wait - should method wait for movement end or not
@param angle_degrees - are joint_states in degrees or not
"""
joint_states_cpy = copy.deepcopy(joint_states)
if angle_degrees:
joint_states_cpy.update(
(joint, radians(i)) for joint, i in joint_states_cpy.items())
self._move_group_commander.set_start_state_to_current_state()
self._move_group_commander.set_joint_value_target(joint_states_cpy)
self._move_group_commander.go(wait=wait)
def plan_to_joint_value_target(self, joint_states, angle_degrees=False):
"""
Set target of the robot's links and plans.
@param joint_states - dictionary with joint name and value. It can
contain only joints values of which need to be changed.
@param angle_degrees - are joint_states in degrees or not
This is a blocking method.
"""
joint_states_cpy = copy.deepcopy(joint_states)
if angle_degrees:
joint_states_cpy.update(
(joint, radians(i)) for joint, i in joint_states_cpy.items())
self._move_group_commander.set_start_state_to_current_state()
self._move_group_commander.set_joint_value_target(joint_states_cpy)
self.__plan = self._move_group_commander.plan()
return self.__plan
def check_plan_is_valid(self):
"""
Checks if current plan contains a valid trajectory
"""
return (self.__plan is not None
and len(self.__plan.joint_trajectory.points) > 0)
def check_given_plan_is_valid(self, plan):
"""
Checks if given plan contains a valid trajectory
"""
return (plan is not None and len(plan.joint_trajectory.points) > 0)
def get_robot_name(self):
return self._robot_name
def named_target_in_srdf(self, name):
return name in self._srdf_names
def set_named_target(self, name):
if name in self._srdf_names:
self._move_group_commander.set_named_target(name)
elif (name in self._warehouse_names):
response = self._warehouse_name_get_srv(name, self._robot_name)
active_names = self._move_group_commander._g.get_active_joints()
joints = response.state.joint_state.name
positions = response.state.joint_state.position
js = {}
for n, this_name in enumerate(joints):
if this_name in active_names:
js[this_name] = positions[n]
self._move_group_commander.set_joint_value_target(js)
else:
rospy.logerr("Unknown named state '%s'..." % name)
return False
return True
def get_named_target_joint_values(self, name):
output = dict()
if (name in self._srdf_names):
output = self._move_group_commander.\
_g.get_named_target_values(str(name))
elif (name in self._warehouse_names):
js = self._warehouse_name_get_srv(
name, self._robot_name).state.joint_state
for x, n in enumerate(js.name):
if n in self._move_group_commander._g.get_joints():
output[n] = js.position[x]
else:
rospy.logerr("No target named %s" % name)
return None
return output
def get_end_effector_link(self):
return self._move_group_commander.get_end_effector_link()
def get_current_pose(self, reference_frame=None):
"""
Get the current pose of the end effector.
@param reference_frame - The desired reference frame in which end effector pose should be returned.
If none is passed, it will use the planning frame as reference.
@return geometry_msgs.msg.Pose() - current pose of the end effector
"""
if reference_frame is not None:
try:
trans = self.tf_buffer.lookup_transform(
reference_frame,
self._move_group_commander.get_end_effector_link(),
rospy.Time(0), rospy.Duration(5.0))
current_pose = geometry_msgs.msg.Pose()
current_pose.position.x = trans.transform.translation.x
current_pose.position.y = trans.transform.translation.y
current_pose.position.z = trans.transform.translation.z
current_pose.orientation.x = trans.transform.rotation.x
current_pose.orientation.y = trans.transform.rotation.y
current_pose.orientation.z = trans.transform.rotation.z
current_pose.orientation.w = trans.transform.rotation.w
return current_pose
except (tf2_ros.LookupException, tf2_ros.ConnectivityException,
tf2_ros.ExtrapolationException):
rospy.logwarn(
"Couldn't get the pose from " +
self._move_group_commander.get_end_effector_link() +
" in " + reference_frame + " reference frame")
return None
else:
return self._move_group_commander.get_current_pose().pose
def get_current_state(self):
"""
Get the current joint state of the group being used.
@return a dictionary with the joint names as keys and current joint values
"""
joint_names = self._move_group_commander._g.get_active_joints()
joint_values = self._move_group_commander._g.get_current_joint_values()
return dict(zip(joint_names, joint_values))
def get_current_state_bounded(self):
"""
Get the current joint state of the group being used, enforcing that they are within each joint limits.
@return a dictionary with the joint names as keys and current joint values
"""
current = self._move_group_commander._g.get_current_state_bounded()
names = self._move_group_commander._g.get_active_joints()
output = {n: current[n] for n in names if n in current}
return output
def get_robot_state_bounded(self):
return self._move_group_commander._g.get_current_state_bounded()
def move_to_named_target(self, name, wait=True):
"""
Set target of the robot's links and moves to it
@param name - name of the target pose defined in SRDF
@param wait - should method wait for movement end or not
"""
self._move_group_commander.set_start_state_to_current_state()
if self.set_named_target(name):
self._move_group_commander.go(wait=wait)
def plan_to_named_target(self, name):
"""
Set target of the robot's links and plans
This is a blocking method.
@param name - name of the target pose defined in SRDF
"""
self._move_group_commander.set_start_state_to_current_state()
if self.set_named_target(name):
self.__plan = self._move_group_commander.plan()
def __get_warehouse_names(self):
try:
list_srv = rospy.ServiceProxy("list_robot_states", ListStates)
return list_srv("", self._robot_name).states
except rospy.ServiceException as exc:
rospy.logwarn("Couldn't access warehouse: " + str(exc))
return list()
def _reset_plan(self):
self.__plan = None
def _set_plan(self, plan):
self.__plan = plan
def __get_srdf_names(self):
return self._move_group_commander._g.get_named_targets()
def get_named_targets(self):
"""
Get the complete list of named targets, from SRDF
as well as warehouse poses if available.
@return list of strings containing names of targets.
"""
return self._srdf_names + self._warehouse_names
def get_joints_position(self):
"""
Returns joints position
@return - dictionary with joints positions
"""
with self._joint_states_lock:
return self._joints_position
def get_joints_velocity(self):
"""
Returns joints velocities
@return - dictionary with joints velocities
"""
with self._joint_states_lock:
return self._joints_velocity
def _get_joints_effort(self):
"""
Returns joints effort
@return - dictionary with joints efforts
"""
with self._joint_states_lock:
return self._joints_effort
def get_joints_state(self):
"""
Returns joints state
@return - JointState message
"""
with self._joint_states_lock:
return self._joints_state
def run_joint_trajectory(self, joint_trajectory):
"""
Moves robot through all joint states with specified timeouts
@param joint_trajectory - JointTrajectory class object. Represents
trajectory of the joints which would be executed.
"""
plan = RobotTrajectory()
plan.joint_trajectory = joint_trajectory
self._move_group_commander.execute(plan)
def make_named_trajectory(self, trajectory):
"""
Makes joint value trajectory from specified by named poses (either from
SRDF or from warehouse)
@param trajectory - list of waypoints, each waypoint is a dict with
the following elements (n.b either name or joint_angles is required)
- name -> the name of the way point
- joint_angles -> a dict of joint names and angles
- interpolate_time -> time to move from last wp
- pause_time -> time to wait at this wp
- degrees -> set to true if joint_angles is specified in degrees. Assumed false if absent.
"""
current = self.get_current_state_bounded()
joint_trajectory = JointTrajectory()
joint_names = current.keys()
joint_trajectory.joint_names = joint_names
start = JointTrajectoryPoint()
start.positions = current.values()
start.time_from_start = rospy.Duration.from_sec(0.001)
joint_trajectory.points.append(start)
time_from_start = 0.0
for wp in trajectory:
joint_positions = None
if 'name' in wp.keys():
joint_positions = self.get_named_target_joint_values(
wp['name'])
elif 'joint_angles' in wp.keys():
joint_positions = copy.deepcopy(wp['joint_angles'])
if 'degrees' in wp.keys() and wp['degrees']:
for joint, angle in joint_positions.iteritems():
joint_positions[joint] = radians(angle)
if joint_positions is None:
rospy.logerr(
"Invalid waypoint. Must contain valid name for named target or dict of joint angles."
)
return None
new_positions = {}
for n in joint_names:
new_positions[n] = joint_positions[
n] if n in joint_positions else current[n]
trajectory_point = JointTrajectoryPoint()
trajectory_point.positions = [
new_positions[n] for n in joint_names
]
current = new_positions
time_from_start += wp['interpolate_time']
trajectory_point.time_from_start = rospy.Duration.from_sec(
time_from_start)
joint_trajectory.points.append(trajectory_point)
if 'pause_time' in wp and wp['pause_time'] > 0:
extra = JointTrajectoryPoint()
extra.positions = trajectory_point.positions
time_from_start += wp['pause_time']
extra.time_from_start = rospy.Duration.from_sec(
time_from_start)
joint_trajectory.points.append(extra)
return joint_trajectory
def send_stop_trajectory_unsafe(self):
"""
Sends a trajectory of all active joints at their current position.
This stops the robot.
"""
current = self.get_current_state_bounded()
trajectory_point = JointTrajectoryPoint()
trajectory_point.positions = current.values()
trajectory_point.time_from_start = rospy.Duration.from_sec(0.1)
trajectory = JointTrajectory()
trajectory.points.append(trajectory_point)
trajectory.joint_names = current.keys()
self.run_joint_trajectory_unsafe(trajectory)
def run_named_trajectory_unsafe(self, trajectory, wait=False):
"""
Moves robot through trajectory specified by named poses, either from
SRDF or from warehouse. Runs trajectory directly via contoller.
@param trajectory - list of waypoints, each waypoint is a dict with
the following elements:
- name -> the name of the way point
- interpolate_time -> time to move from last wp
- pause_time -> time to wait at this wp
"""
joint_trajectory = self.make_named_trajectory(trajectory)
if joint_trajectory is not None:
self.run_joint_trajectory_unsafe(joint_trajectory, wait)
def run_named_trajectory(self, trajectory):
"""
Moves robot through trajectory specified by named poses, either from
SRDF or from warehouse. Runs trajectory via moveit.
@param trajectory - list of waypoints, each waypoint is a dict with
the following elements:
- name -> the name of the way point
- interpolate_time -> time to move from last wp
- pause_time -> time to wait at this wp
"""
joint_trajectory = self.make_named_trajectory(trajectory)
if joint_trajectory is not None:
self.run_joint_trajectory(joint_trajectory)
def move_to_position_target(self, xyz, end_effector_link="", wait=True):
"""
Specify a target position for the end-effector and moves to it
@param xyz - new position of end-effector
@param end_effector_link - name of the end effector link
@param wait - should method wait for movement end or not
"""
self._move_group_commander.set_start_state_to_current_state()
self._move_group_commander.set_position_target(xyz, end_effector_link)
self._move_group_commander.go(wait=wait)
def plan_to_position_target(self, xyz, end_effector_link=""):
"""
Specify a target position for the end-effector and plans.
This is a blocking method.
@param xyz - new position of end-effector
@param end_effector_link - name of the end effector link
"""
self._move_group_commander.set_start_state_to_current_state()
self._move_group_commander.set_position_target(xyz, end_effector_link)
self.__plan = self._move_group_commander.plan()
def move_to_pose_target(self, pose, end_effector_link="", wait=True):
"""
Specify a target pose for the end-effector and moves to it
@param pose - new pose of end-effector: a Pose message, a PoseStamped
message or a list of 6 floats: [x, y, z, rot_x, rot_y, rot_z] or a list
of 7 floats [x, y, z, qx, qy, qz, qw]
@param end_effector_link - name of the end effector link
@param wait - should method wait for movement end or not
"""
self._move_group_commander.set_start_state_to_current_state()
self._move_group_commander.set_pose_target(pose, end_effector_link)
self._move_group_commander.go(wait=wait)
def plan_to_pose_target(self,
pose,
end_effector_link="",
alternative_method=False):
"""
Specify a target pose for the end-effector and plans.
This is a blocking method.
@param pose - new pose of end-effector: a Pose message, a PoseStamped
message or a list of 6 floats: [x, y, z, rot_x, rot_y, rot_z] or a list
of 7 floats [x, y, z, qx, qy, qz, qw]
@param end_effector_link - name of the end effector link
@param alternative_method - use set_joint_value_target instead of set_pose_target
"""
self._move_group_commander.set_start_state_to_current_state()
if alternative_method:
self._move_group_commander.set_joint_value_target(
pose, end_effector_link)
else:
self._move_group_commander.set_pose_target(pose, end_effector_link)
self.__plan = self._move_group_commander.plan()
return self.__plan
def _joint_states_callback(self, joint_state):
"""
The callback function for the topic joint_states.
It will store the received joint position, velocity and efforts
information into dictionaries
@param joint_state - the message containing the joints data.
"""
with self._joint_states_lock:
self._joints_state = joint_state
self._joints_position = {
n: p
for n, p in zip(joint_state.name, joint_state.position)
}
self._joints_velocity = {
n: v
for n, v in zip(joint_state.name, joint_state.velocity)
}
self._joints_effort = {
n: v
for n, v in zip(joint_state.name, joint_state.effort)
}
def _set_up_action_client(self, controller_list):
"""
Sets up an action client to communicate with the trajectory controller
"""
self._action_running = {}
for controller_name in controller_list.keys():
self._action_running[controller_name] = False
service_name = controller_name + "/follow_joint_trajectory"
self._clients[controller_name] = SimpleActionClient(
service_name, FollowJointTrajectoryAction)
if self._clients[controller_name].wait_for_server(
timeout=rospy.Duration(4)) is False:
err_msg = 'Failed to connect to action server ({}) in 4 sec'.format(
service_name)
rospy.logwarn(err_msg)
def move_to_joint_value_target_unsafe(self,
joint_states,
time=0.002,
wait=True,
angle_degrees=False):
"""
Set target of the robot's links and moves to it.
@param joint_states - dictionary with joint name and value. It can
contain only joints values of which need to be changed.
@param time - time in s (counting from now) for the robot to reach the
target (it needs to be greater than 0.0 for it not to be rejected by
the trajectory controller)
@param wait - should method wait for movement end or not
@param angle_degrees - are joint_states in degrees or not
"""
# self._update_default_trajectory()
# self._set_targets_to_default_trajectory(joint_states)
goals = {}
joint_states_cpy = copy.deepcopy(joint_states)
if angle_degrees:
joint_states_cpy.update(
(joint, radians(i)) for joint, i in joint_states_cpy.items())
for controller in self._controllers:
controller_joints = self._controllers[controller]
goal = FollowJointTrajectoryGoal()
goal.trajectory.joint_names = []
point = JointTrajectoryPoint()
point.positions = []
for x in joint_states_cpy.keys():
if x in controller_joints:
goal.trajectory.joint_names.append(x)
point.positions.append(joint_states_cpy[x])
point.time_from_start = rospy.Duration.from_sec(time)
goal.trajectory.points = [point]
goals[controller] = goal
self._call_action(goals)
if not wait:
return
for i in self._clients.keys():
if not self._clients[i].wait_for_result():
rospy.loginfo("Trajectory not completed")
def action_is_running(self, controller=None):
if controller is not None:
return self._action_running[controller]
for controller_running in self._action_running.values():
if controller_running:
return True
return False
def _action_done_cb(self, controller, terminal_state, result):
self._action_running[controller] = False
def _call_action(self, goals):
for client in self._clients:
self._action_running[client] = True
self._clients[client].send_goal(
goals[client],
lambda terminal_state, result: self._action_done_cb(
client, terminal_state, result))
def run_joint_trajectory_unsafe(self, joint_trajectory, wait=True):
"""
Moves robot through all joint states with specified timeouts
@param joint_trajectory - JointTrajectory class object. Represents
trajectory of the joints which would be executed.
@param wait - should method wait for movement end or not
"""
goals = {}
for controller in self._controllers:
controller_joints = self._controllers[controller]
goal = FollowJointTrajectoryGoal()
goal.trajectory = copy.deepcopy(joint_trajectory)
indices_of_joints_in_this_controller = []
for i, joint in enumerate(joint_trajectory.joint_names):
if joint in controller_joints:
indices_of_joints_in_this_controller.append(i)
goal.trajectory.joint_names = [
joint_trajectory.joint_names[i]
for i in indices_of_joints_in_this_controller
]
for point in goal.trajectory.points:
if point.positions:
point.positions = [
point.positions[i]
for i in indices_of_joints_in_this_controller
]
if point.velocities:
point.velocities = [
point.velocities[i]
for i in indices_of_joints_in_this_controller
]
if point.effort:
point.effort = [
point.effort[i]
for i in indices_of_joints_in_this_controller
]
goals[controller] = goal
self._call_action(goals)
if not wait:
return
for i in self._clients.keys():
if not self._clients[i].wait_for_result():
rospy.loginfo("Trajectory not completed")
def plan_to_waypoints_target(self,
waypoints,
reference_frame=None,
eef_step=0.005,
jump_threshold=0.0):
"""
Specify a set of waypoints for the end-effector and plans.
This is a blocking method.
@param reference_frame - the reference frame in which the waypoints are given
@param waypoints - an array of poses of end-effector
@param eef_step - configurations are computed for every eef_step meters
@param jump_threshold - maximum distance in configuration space between consecutive points in the resulting path
"""
old_frame = self._move_group_commander.get_pose_reference_frame()
if reference_frame is not None:
self.set_pose_reference_frame(reference_frame)
(self.__plan,
fraction) = self._move_group_commander.compute_cartesian_path(
waypoints, eef_step, jump_threshold)
self.set_pose_reference_frame(old_frame)
def set_teach_mode(self, teach):
"""
Activates/deactivates the teach mode for the robot.
Activation: stops the the trajectory controllers for the robot, and
sets it to teach mode.
Deactivation: stops the teach mode and starts trajectory controllers
for the robot.
Currently this method blocks for a few seconds when called on a hand,
while the hand parameters are reloaded.
@param teach - bool to activate or deactivate teach mode
"""
if teach:
mode = RobotTeachModeRequest.TEACH_MODE
else:
mode = RobotTeachModeRequest.TRAJECTORY_MODE
self.change_teach_mode(mode, self._name)
def move_to_trajectory_start(self, trajectory, wait=True):
"""
Make and execute a plan from the current state to the first state in an pre-existing trajectory
@param trajectory - moveit_msgs/JointTrajectory
@param wait - Bool to specify if movement should block untill finished.
"""
if len(trajectory.points) <= 0:
rospy.logerr("Trajectory has no points in it, can't reverse...")
return None
first_point = trajectory.points[0]
end_state = dict(zip(trajectory.joint_names, first_point.positions))
self.move_to_joint_value_target(end_state, wait=wait)
@staticmethod
def change_teach_mode(mode, robot):
teach_mode_client = rospy.ServiceProxy('/teach_mode', RobotTeachMode)
req = RobotTeachModeRequest()
req.teach_mode = mode
req.robot = robot
try:
resp = teach_mode_client(req)
if resp.result == RobotTeachModeResponse.ERROR:
rospy.logerr("Failed to change robot %s to mode %d", robot,
mode)
else:
rospy.loginfo("Changed robot %s to mode %d Result = %d", robot,
mode, resp.result)
except rospy.ServiceException:
rospy.logerr("Failed to call service teach_mode")
def get_ik(self, target_pose, avoid_collisions=False, joint_states=None):
"""
Computes the inverse kinematics for a given pose. It returns a JointState
@param target_pose - A given pose of type PoseStamped
@param avoid_collisions - Find an IK solution that avoids collisions. By default, this is false
"""
service_request = PositionIKRequest()
service_request.group_name = self._name
service_request.ik_link_name = self._move_group_commander.get_end_effector_link(
)
service_request.pose_stamped = target_pose
service_request.timeout.secs = 0.5
service_request.avoid_collisions = avoid_collisions
if joint_states is None:
service_request.robot_state.joint_state = self.get_joints_state()
else:
service_request.robot_state.joint_state = joint_states
try:
resp = self._compute_ik(ik_request=service_request)
# Check if error_code.val is SUCCESS=1
if resp.error_code.val != 1:
if resp.error_code.val == -10:
rospy.logerr("Unreachable point: Start state in collision")
elif resp.error_code.val == -12:
rospy.logerr("Unreachable point: Goal state in collision")
elif resp.error_code.val == -31:
rospy.logerr("Unreachable point: No IK solution")
else:
rospy.logerr("Unreachable point (error: %s)" %
resp.error_code)
return
else:
return resp.solution.joint_state
except rospy.ServiceException, e:
rospy.logerr("Service call failed: %s" % e)
def __init__(self):
# Initialize the move_group API
moveit_commander.roscpp_initialize(sys.argv)
# Initialize the ROS node
rospy.init_node('moveit_constraints_demo', anonymous=True)
robot = RobotCommander()
# Connect to the arm move group
arm = MoveGroupCommander(GROUP_NAME_ARM)
# Initialize the move group for the right gripper
gripper = MoveGroupCommander(GROUP_NAME_GRIPPER)
# Increase the planning time since constraint planning can take a while
arm.set_planning_time(5)
# Allow replanning to increase the odds of a solution
arm.allow_replanning(True)
# Set the right arm reference frame
arm.set_pose_reference_frame(REFERENCE_FRAME)
# Allow some leeway in position(meters) and orientation (radians)
arm.set_goal_position_tolerance(0.05)
arm.set_goal_orientation_tolerance(0.1)
# Get the name of the end-effector link
end_effector_link = arm.get_end_effector_link()
# Start in the "resting" configuration stored in the SRDF file
arm.set_named_target('l_arm_init')
# Plan and execute a trajectory to the goal configuration
arm.go()
rospy.sleep(1)
# Open the gripper
gripper.set_joint_value_target(GRIPPER_NEUTRAL)
gripper.go()
rospy.sleep(1)
# Set an initial target pose with the arm up and to the right
target_pose = PoseStamped()
target_pose.header.frame_id = REFERENCE_FRAME
target_pose.pose.position.x = 0.263803774718
target_pose.pose.position.y = 0.295405791959
target_pose.pose.position.z = 0.690438884208
q = quaternion_from_euler(0, 0, -1.57079633)
target_pose.pose.orientation.x = q[0]
target_pose.pose.orientation.y = q[1]
target_pose.pose.orientation.z = q[2]
target_pose.pose.orientation.w = q[3]
# Set the start state and target pose, then plan and execute
arm.set_start_state(robot.get_current_state())
arm.set_pose_target(target_pose, end_effector_link)
arm.go()
rospy.sleep(2)
# Close the gripper
gripper.set_joint_value_target(GRIPPER_CLOSED)
gripper.go()
rospy.sleep(1)
# Store the current pose
start_pose = arm.get_current_pose(end_effector_link)
# Create a contraints list and give it a name
constraints = Constraints()
constraints.name = "Keep gripper horizontal"
# Create an orientation constraint for the right gripper
orientation_constraint = OrientationConstraint()
orientation_constraint.header = start_pose.header
orientation_constraint.link_name = arm.get_end_effector_link()
orientation_constraint.orientation.w = 1.0
orientation_constraint.absolute_x_axis_tolerance = 0.1
orientation_constraint.absolute_y_axis_tolerance = 0.1
orientation_constraint.absolute_z_axis_tolerance = 0.1
orientation_constraint.weight = 1.0
# q = quaternion_from_euler(0, 0, -1.57079633)
# orientation_constraint.orientation.x = q[0]
# orientation_constraint.orientation.y = q[1]
# orientation_constraint.orientation.z = q[2]
# orientation_constraint.orientation.w = q[3]
# Append the constraint to the list of contraints
constraints.orientation_constraints.append(orientation_constraint)
# Set the path constraints on the arm
arm.set_path_constraints(constraints)
# Set a target pose for the arm
target_pose = PoseStamped()
target_pose.header.frame_id = REFERENCE_FRAME
target_pose.pose.position.x = 0.39000848183
target_pose.pose.position.y = 0.185900663329
target_pose.pose.position.z = 0.732752341378
target_pose.pose.orientation.w = 1
# Set the start state and target pose, then plan and execute
arm.set_start_state_to_current_state()
arm.set_pose_target(target_pose, end_effector_link)
arm.go()
rospy.sleep(1)
# Clear all path constraints
arm.clear_path_constraints()
# Open the gripper
gripper.set_joint_value_target(GRIPPER_NEUTRAL)
gripper.go()
rospy.sleep(1)
# Return to the "resting" configuration stored in the SRDF file
arm.set_named_target('l_arm_init')
# Plan and execute a trajectory to the goal configuration
arm.go()
rospy.sleep(1)
# Shut down MoveIt cleanly
moveit_commander.roscpp_shutdown()
# Exit MoveIt
moveit_commander.os._exit(0)
def __init__(self):
# Initialize the move_group API
moveit_commander.roscpp_initialize(sys.argv)
rospy.init_node('moveit_demo')
#Initialize robot
robot = moveit_commander.RobotCommander()
# Use the planning scene object to add or remove objects
scene = PlanningSceneInterface()
# Create a scene publisher to push changes to the scene
self.scene_pub = rospy.Publisher('planning_scene', PlanningScene, queue_size=10)
# Create a publisher for displaying gripper poses
self.gripper_pose_pub = rospy.Publisher('gripper_pose', PoseStamped, queue_size=10)
# Create a publisher for displaying object frames
self.object_frames_pub = rospy.Publisher('object_frames', PoseStamped, queue_size=10)
# Create a dictionary to hold object colors
self.colors = dict()
# Initialize the MoveIt! commander for the arm
right_arm = MoveGroupCommander(GROUP_NAME_ARM)
# Initialize the MoveIt! commander for the gripper
right_gripper = MoveGroupCommander(GROUP_NAME_GRIPPER)
# Get the name of the end-effector link
eef = right_arm.get_end_effector_link()
# Allow some leeway in position (meters) and orientation (radians)
# right_arm.set_goal_position_tolerance(0.05)
# right_arm.set_goal_orientation_tolerance(0.1)
# Allow replanning to increase the odds of a solution
right_arm.allow_replanning(True)
# Set the right arm reference frame
right_arm.set_pose_reference_frame(REFERENCE_FRAME)
# Allow 5 seconds per planning attempt
right_arm.set_planning_time(5)
# Set a limit on the number of pick attempts before bailing
max_pick_attempts = 5
# Set a limit on the number of place attempts
max_place_attempts = 5
# Give the scene a chance to catch up
rospy.sleep(2)
# Prepare Gazebo Subscriber
self.pwh = None
self.pwh_copy = None
self.idx_targ = None
self.gazebo_subscriber = rospy.Subscriber("/gazebo/model_states", ModelStates, self.model_state_callback)
# Prepare Gripper and open it
self.ac = actionlib.SimpleActionClient('r_gripper_controller/gripper_action',pr2c.Pr2GripperCommandAction)
self.ac.wait_for_server()
g_open = pr2c.Pr2GripperCommandGoal(pr2c.Pr2GripperCommand(0.088, 100))
g_close = pr2c.Pr2GripperCommandGoal(pr2c.Pr2GripperCommand(0.0, 1))
self.ac.send_goal(g_open)
rospy.sleep(2)
# PREPARE THE SCENE
while self.pwh is None:
rospy.sleep(0.05)
target_id = 'target'
self.taid = self.pwh.name.index('wood_cube_5cm')
table_id = 'table'
self.tid = self.pwh.name.index('table')
#obstacle1_id = 'obstacle1'
#self.o1id = self.pwh.name.index('wood_block_10_2_1cm')
# Remove leftover objects from a previous run
scene.remove_world_object(target_id)
scene.remove_world_object(table_id)
#scene.remove_world_object(obstacle1_id)
# Remove any attached objects from a previous session
scene.remove_attached_object(GRIPPER_FRAME, target_id)
# Set the target size [l, w, h]
target_size = [0.05, 0.05, 0.05]
table_size = [1.5, 0.8, 0.03]
#obstacle1_size = [0.1, 0.025, 0.01]
## Set the target pose on the table
target_pose = PoseStamped()
target_pose.header.frame_id = REFERENCE_FRAME
target_pose.pose = self.pwh.pose[self.taid]
target_pose.pose.position.z += 0.025
# Add the target object to the scene
scene.add_box(target_id, target_pose, target_size)
table_pose = PoseStamped()
table_pose.header.frame_id = REFERENCE_FRAME
table_pose.pose = self.pwh.pose[self.tid]
table_pose.pose.position.z += 1
scene.add_box(table_id, table_pose, table_size)
#obstacle1_pose = PoseStamped()
#obstacle1_pose.header.frame_id = REFERENCE_FRAME
#obstacle1_pose.pose = self.pwh.pose[self.o1id]
## Add the target object to the scene
#scene.add_box(obstacle1_id, obstacle1_pose, obstacle1_size)
# Specify a pose to place the target after being picked up
place_pose = PoseStamped()
place_pose.header.frame_id = REFERENCE_FRAME
place_pose.pose.position.x = 0.50
place_pose.pose.position.y = -0.30
place_pose.pose.orientation.w = 1.0
# Add the target object to the scene
scene.add_box(target_id, target_pose, target_size)
### Make the target purple ###
self.setColor(target_id, 0.6, 0, 1, 1.0)
# Send the colors to the planning scene
self.sendColors()
#print target_pose
self.object_frames_pub.publish(target_pose)
rospy.sleep(2)
# Initialize the grasp pose to the target pose
grasp_pose = target_pose
#grasp_pose.header.frame_id = 'gazebo_wolrd'
# Shift the grasp pose by half the width of the target to center it
# grasp_pose.pose.position.y -= target_size[1] / 2.0
# grasp_pose.pose.position.x = target_pose.pose.position.x / 2.0
# grasp_pose.pose.position.x = target_pose.pose.position.x -0.07
# grasp_pose.pose.position.z += 0.18
#Allowed touch object list
# ato = [target_id, 'r_forearm_link']
# Generate a list of grasps
grasps = self.make_grasps(grasp_pose, [target_id]) #### [target_id]
# Publish the grasp poses so they can be viewed in RViz
for grasp in grasps:
# print grasp.grasp_pose
self.gripper_pose_pub.publish(grasp.grasp_pose)
rospy.sleep(0.2)
# Track success/failure and number of attempts for pick operation
success = False
n_attempts = 0
#Allowed touch link list
atl = ['r_forearm_link']
# Repeat until we succeed or run out of attempts
while success == False and n_attempts < max_pick_attempts:
success = right_arm.pick(target_id, grasps)
n_attempts += 1
rospy.loginfo("Pick attempt: " + str(n_attempts))
rospy.sleep(0.2)
if success:
self.ac.send_goal(g_close)
rospy.sleep(3)
## If the pick was successful, attempt the place operation
#if success:
#success = False
#n_attempts = 0
## Generate valid place poses
#places = self.make_places(place_pose)
## Repeat until we succeed or run out of attempts
#while success == False and n_attempts < max_place_attempts:
#for place in places:
#success = right_arm.place(target_id, place)
#if success:
#break
#n_attempts += 1
#rospy.loginfo("Place attempt: " + str(n_attempts))
#rospy.sleep(0.2)
#if not success:
#rospy.loginfo("Place operation failed after " + str(n_attempts) + " attempts.")
#else:
#rospy.loginfo("Pick operation failed after " + str(n_attempts) + " attempts.")
## Return the arm to the "resting" pose stored in the SRDF file
##right_arm.set_named_target('resting')
##right_arm.go()
## Open the gripper to the neutral position
#right_gripper.set_joint_value_target(GRIPPER_NEUTRAL)
#right_gripper.go()
#rospy.sleep(1)
#rospy.spin()
# Shut down MoveIt cleanly
moveit_commander.roscpp_shutdown()
# Exit the script
moveit_commander.os._exit(0)
def __init__(self):
# Initialize the move_group API
moveit_commander.roscpp_initialize(sys.argv)
rospy.init_node('moveit_obstacles_demo')
# Construct the initial scene object
scene = PlanningSceneInterface()
# Create a scene publisher to push changes to the scene
self.scene_pub = rospy.Publisher('planning_scene', PlanningScene, queue_size=5)
# Create a dictionary to hold object colors
self.colors = dict()
# Pause for the scene to get ready
rospy.sleep(1)
# Initialize the move group for the right arm
arm = MoveGroupCommander(GROUP_NAME_ARM)
# Get the name of the end-effector link
end_effector_link = arm.get_end_effector_link()
# Allow some leeway in position (meters) and orientation (radians)
arm.set_goal_position_tolerance(0.01)
arm.set_goal_orientation_tolerance(0.05)
# Allow replanning to increase the odds of a solution
arm.allow_replanning(True)
# Set the right arm reference frame accordingly
arm.set_pose_reference_frame(REFERENCE_FRAME)
# Allow 5 seconds per planning attempt
arm.set_planning_time(5)
# Give each of the scene objects a unique name
table_id = 'table'
box1_id = 'box1'
box2_id = 'box2'
# Remove leftover objects from a previous run
scene.remove_world_object(table_id)
scene.remove_world_object(box1_id)
scene.remove_world_object(box2_id)
# Give the scene a chance to catch up
rospy.sleep(1)
# Start the arm in the "resting" pose stored in the SRDF file
arm.set_named_target('l_arm_init')
arm.go()
rospy.sleep(2)
# Set the height of the table off the ground
table_ground = 0.65
# Set the length, width and height of the table and boxes
table_size = [0.2, 0.7, 0.01]
box1_size = [0.1, 0.05, 0.05]
box2_size = [0.05, 0.05, 0.15]
# Add a table top and two boxes to the scene
table_pose = PoseStamped()
table_pose.header.frame_id = REFERENCE_FRAME
table_pose.pose.position.x = 0.35
table_pose.pose.position.y = 0.0
table_pose.pose.position.z = table_ground + table_size[2] / 2.0
table_pose.pose.orientation.w = 1.0
scene.add_box(table_id, table_pose, table_size)
box1_pose = PoseStamped()
box1_pose.header.frame_id = REFERENCE_FRAME
box1_pose.pose.position.x = 0.3
box1_pose.pose.position.y = 0
box1_pose.pose.position.z = table_ground + table_size[2] + box1_size[2] / 2.0
box1_pose.pose.orientation.w = 1.0
scene.add_box(box1_id, box1_pose, box1_size)
box2_pose = PoseStamped()
box2_pose.header.frame_id = REFERENCE_FRAME
box2_pose.pose.position.x = 0.3
box2_pose.pose.position.y = 0.25
box2_pose.pose.position.z = table_ground + table_size[2] + box2_size[2] / 2.0
box2_pose.pose.orientation.w = 1.0
scene.add_box(box2_id, box2_pose, box2_size)
# Make the table red and the boxes orange
self.setColor(table_id, 0.8, 0, 0, 1.0)
self.setColor(box1_id, 0.8, 0.4, 0, 1.0)
self.setColor(box2_id, 0.8, 0.4, 0, 1.0)
# Send the colors to the planning scene
self.sendColors()
# Set the target pose in between the boxes and above the table
target_pose = PoseStamped()
target_pose.header.frame_id = REFERENCE_FRAME
target_pose.pose.position.x = 0.22
target_pose.pose.position.y = 0.14
target_pose.pose.position.z = table_pose.pose.position.z + table_size[2] + 0.05
q = quaternion_from_euler(0, 0, -1.57079633)
target_pose.pose.orientation.x = q[0]
target_pose.pose.orientation.y = q[1]
target_pose.pose.orientation.z = q[2]
target_pose.pose.orientation.w = q[3]
# Set the target pose for the arm
arm.set_pose_target(target_pose, end_effector_link)
# Move the arm to the target pose (if possible)
arm.go()
# Pause for a moment...
rospy.sleep(2)
# Return the arm to the "resting" pose stored in the SRDF file
arm.set_named_target('l_arm_init')
arm.go()
# Exit MoveIt cleanly
moveit_commander.roscpp_shutdown()
# Exit the script
moveit_commander.os._exit(0)
def __init__(self):
# Initialize the move_group API
moveit_commander.roscpp_initialize(sys.argv)
rospy.init_node('moveit_demo')
# Use the planning scene object to add or remove objects
scene = PlanningSceneInterface()
# Create a scene publisher to push changes to the scene
self.scene_pub = rospy.Publisher('planning_scene', PlanningScene)
# Create a publisher for displaying gripper poses
self.gripper_pose_pub = rospy.Publisher('gripper_pose', PoseStamped)
# Create a dictionary to hold object colors
self.colors = dict()
# Initialize the move group for the right arm
right_arm = MoveGroupCommander(GROUP_NAME_ARM)
# Initialize the move group for the right gripper
right_gripper = MoveGroupCommander(GROUP_NAME_GRIPPER)
# Get the name of the end-effector link
end_effector_link = right_arm.get_end_effector_link()
# Allow some leeway in position (meters) and orientation (radians)
right_arm.set_goal_position_tolerance(0.05)
right_arm.set_goal_orientation_tolerance(0.1)
# Allow replanning to increase the odds of a solution
right_arm.allow_replanning(True)
# Set the right arm reference frame
right_arm.set_pose_reference_frame(REFERENCE_FRAME)
# Allow 10 seconds per planning attempt
right_arm.set_planning_time(10)
# Set a limit on the number of pick attempts before bailing
max_pick_attempts = 10
# Set a limit on the number of place attempts
max_place_attempts = 5
# Give the scene a chance to catch up
rospy.sleep(2)
# Give each of the scene objects a unique name
table_id = 'table'
box1_id = 'box1'
box2_id = 'box2'
target_id = 'target'
tool_id = 'tool'
# Remove leftover objects from a previous run
scene.remove_world_object(table_id)
scene.remove_world_object(box1_id)
scene.remove_world_object(box2_id)
scene.remove_world_object(target_id)
scene.remove_world_object(tool_id)
# Remove any attached objects from a previous session
scene.remove_attached_object(GRIPPER_FRAME, target_id)
# Give the scene a chance to catch up
rospy.sleep(1)
# Start the arm in the "resting" pose stored in the SRDF file
right_arm.set_named_target('right_start')
right_arm.go()
# Open the gripper to the neutral position
right_gripper.set_joint_value_target(GRIPPER_NEUTRAL)
right_gripper.go()
rospy.sleep(1)
# Set the height of the table off the ground
table_ground = 0.65
# Set the dimensions of the scene objects [l, w, h]
table_size = [0.2, 0.7, 0.01]
box1_size = [0.1, 0.05, 0.05]
box2_size = [0.05, 0.05, 0.15]
# Set the target size [l, w, h]
target_size = [0.02, 0.01, 0.12]
# Add a table top and two boxes to the scene
table_pose = PoseStamped()
table_pose.header.frame_id = REFERENCE_FRAME
table_pose.pose.position.x = 0.55
table_pose.pose.position.y = 0.0
table_pose.pose.position.z = table_ground + table_size[2] / 2.0
table_pose.pose.orientation.w = 1.0
scene.add_box(table_id, table_pose, table_size)
box1_pose = PoseStamped()
box1_pose.header.frame_id = REFERENCE_FRAME
box1_pose.pose.position.x = 0.55
box1_pose.pose.position.y = -0.1
box1_pose.pose.position.z = table_ground + table_size[2] + box1_size[2] / 2.0
box1_pose.pose.orientation.w = 1.0
scene.add_box(box1_id, box1_pose, box1_size)
box2_pose = PoseStamped()
box2_pose.header.frame_id = REFERENCE_FRAME
box2_pose.pose.position.x = 0.54
box2_pose.pose.position.y = 0.13
box2_pose.pose.position.z = table_ground + table_size[2] + box2_size[2] / 2.0
box2_pose.pose.orientation.w = 1.0
scene.add_box(box2_id, box2_pose, box2_size)
# Set the target pose in between the boxes and on the table
target_pose = PoseStamped()
target_pose.header.frame_id = REFERENCE_FRAME
target_pose.pose.position.x = 0.60
target_pose.pose.position.y = 0.0
target_pose.pose.position.z = table_ground + table_size[2] + target_size[2] / 2.0
target_pose.pose.orientation.w = 1.0
# Add the target object to the scene
scene.add_box(target_id, target_pose, target_size)
# Make the table red and the boxes orange
self.setColor(table_id, 0.8, 0, 0, 1.0)
self.setColor(box1_id, 0.8, 0.4, 0, 1.0)
self.setColor(box2_id, 0.8, 0.4, 0, 1.0)
# Make the target yellow
self.setColor(target_id, 0.9, 0.9, 0, 1.0)
# Send the colors to the planning scene
self.sendColors()
# Set the support surface name to the table object
right_arm.set_support_surface_name(table_id)
# Specify a pose to place the target after being picked up
place_pose = PoseStamped()
place_pose.header.frame_id = REFERENCE_FRAME
place_pose.pose.position.x = 0.50
place_pose.pose.position.y = -0.25
place_pose.pose.position.z = table_ground + table_size[2] + target_size[2] / 2.0
place_pose.pose.orientation.w = 1.0
# Initialize the grasp pose to the target pose
grasp_pose = target_pose
# Shift the grasp pose by half the width of the target to center it
grasp_pose.pose.position.y -= target_size[1] / 2.0
# Generate a list of grasps
grasps = self.make_grasps(grasp_pose, [target_id])
# Publish the grasp poses so they can be viewed in RViz
for grasp in grasps:
self.gripper_pose_pub.publish(grasp.grasp_pose)
rospy.sleep(0.2)
# Track success/failure and number of attempts for pick operation
result = None
n_attempts = 0
# Repeat until we succeed or run out of attempts
while result != MoveItErrorCodes.SUCCESS and n_attempts < max_pick_attempts:
n_attempts += 1
rospy.loginfo("Pick attempt: " + str(n_attempts))
result = right_arm.pick(target_id, grasps)
rospy.sleep(0.2)
# If the pick was successful, attempt the place operation
if result == MoveItErrorCodes.SUCCESS:
result = None
n_attempts = 0
#_------------------------now we move to the other table__________-------------------------------------------
#_------------------------now we move to the other table__________-------------------------------------------
# Generate valid place poses
places = self.make_places(place_pose)
# Repeat until we succeed or run out of attempts
while result != MoveItErrorCodes.SUCCESS and n_attempts < max_place_attempts:
n_attempts += 1
rospy.loginfo("Place attempt: " + str(n_attempts))
for place in places:
result = right_arm.place(target_id, place)
if result == MoveItErrorCodes.SUCCESS:
break
rospy.sleep(0.2)
if result != MoveItErrorCodes.SUCCESS:
rospy.loginfo("Place operation failed after " + str(n_attempts) + " attempts.")
else:
rospy.loginfo("Pick operation failed after " + str(n_attempts) + " attempts.")
# Return the arm to the "resting" pose stored in the SRDF file
right_arm.set_named_target('right_start')
right_arm.go()
# Open the gripper to the neutral position
right_gripper.set_joint_value_target(GRIPPER_NEUTRAL)
right_gripper.go()
rospy.sleep(1)
# Shut down MoveIt cleanly
moveit_commander.roscpp_shutdown()
# Exit the script
moveit_commander.os._exit(0)
class RazerControl():
def __init__(self):
self.pub_right_hand_pose = rospy.Publisher(RIGHT_HAND_POSESTAMPED_TOPIC, PoseStamped, latch=True)
self.pub_right_hand_pose_reference = rospy.Publisher(RIGHT_HAND_REFERENCE_POSESTAMPED_TOPIC, PoseStamped, latch=True)
self.pub_left_hand_pose = rospy.Publisher(LEFT_HAND_POSESTAMPED_TOPIC, PoseStamped, latch=True)
self.pub_left_hand_pose_reference = rospy.Publisher(LEFT_HAND_REFERENCE_POSESTAMPED_TOPIC, PoseStamped, latch=True)
self.hydra_data_subs = rospy.Subscriber(HYDRA_DATA_TOPIC, Hydra, self.hydraDataCallback)
self.pub_move_base = rospy.Publisher(MOVE_BASE_TOPIC, Twist)
self.subs = rospy.Subscriber('/joint_states', JointState, self.getJointStates)
self.current_joint_states = None
rospy.loginfo("Getting first joint_states")
while self.current_joint_states == None:
rospy.sleep(0.1)
rospy.loginfo("Gotten!")
rospy.loginfo("Connecting with right hand AS")
self.right_hand_as = actionlib.SimpleActionClient(HAND_RIGHT_AS, FollowJointTrajectoryAction)
self.right_hand_as.wait_for_server()
rospy.loginfo("Connecting with left hand AS")
self.left_hand_as = actionlib.SimpleActionClient(HAND_LEFT_AS, FollowJointTrajectoryAction)
self.left_hand_as.wait_for_server()
rospy.loginfo("Starting up move group commander for right, left, torso and head... (slow)")
self.right_arm_mgc = MoveGroupCommander("right_arm")
self.right_arm_mgc.set_pose_reference_frame('base_link')
self.left_arm_mgc = MoveGroupCommander("left_arm")
self.left_arm_mgc.set_pose_reference_frame('base_link')
self.torso_mgc = MoveGroupCommander("right_arm_torso")
self.torso_mgc.set_pose_reference_frame('base_link')
self.head_mgc = MoveGroupCommander("head")
self.head_mgc.set_pose_reference_frame('base_link')
self.last_hydra_message = None
self.tmp_pose_right = PoseStamped()
self.tmp_pose_left = PoseStamped()
self.read_message = False
def getJointStates(self, data):
self.current_joint_states = data
def create_hand_goal(self, hand_side="right", hand_pose="closed", values=0.0):
"""Returns the hand goal to send
possible poses: closed, open, intermediate"""
hand_goal = FollowJointTrajectoryGoal()
hand_goal.trajectory.joint_names.append('hand_'+ hand_side +'_thumb_joint')
hand_goal.trajectory.joint_names.append('hand_'+ hand_side +'_middle_joint')
hand_goal.trajectory.joint_names.append('hand_'+ hand_side +'_index_joint')
jtp = JointTrajectoryPoint()
joint_list = ['hand_'+ hand_side +'_thumb_joint',
'hand_'+ hand_side +'_middle_joint',
'hand_'+ hand_side +'_index_joint']
ids_list = []
values_list = []
rospy.loginfo("current_joint_state is:\n" + str(self.current_joint_states))
for joint in joint_list:
idx_in_message = self.current_joint_states.name.index(joint)
ids_list.append(idx_in_message)
values_list.append(self.current_joint_states.position[idx_in_message])
if hand_pose == "closed":
jtp.positions.append(2.0)
jtp.positions.append(values_list[1]) # TODO: read values and keep them
jtp.positions.append(values_list[2]) # TODO: read values and keep them
elif hand_pose == "open":
jtp.positions.append(0.0)
jtp.positions.append(values_list[1]) # TODO: read values and keep them
jtp.positions.append(values_list[2]) # TODO: read values and keep them
elif hand_pose == "intermediate":
jtp.positions.append(values_list[0]) # TODO: read values and keep them
jtp.positions.append(values)
jtp.positions.append(values)
jtp.velocities.append(0.0)
jtp.velocities.append(0.0)
jtp.velocities.append(0.0)
jtp.time_from_start.secs = 2
hand_goal.trajectory.points.append(jtp)
return hand_goal
def hydraDataCallback(self, data):
#rospy.loginfo("Received data from " + HYDRA_DATA_TOPIC)
self.last_hydra_message = data
self.tmp_pose_right = PoseStamped()
self.tmp_pose_right.header.frame_id = 'base_link'
self.tmp_pose_right.header.stamp = rospy.Time.now()
self.tmp_pose_right.pose.position.x = self.last_hydra_message.paddles[1].transform.translation.x
self.tmp_pose_right.pose.position.y = self.last_hydra_message.paddles[1].transform.translation.y
self.tmp_pose_right.pose.position.z = self.last_hydra_message.paddles[1].transform.translation.z
self.tmp_pose_right.pose.position.x += RIGHT_HAND_INITIAL_POINT.x
self.tmp_pose_right.pose.position.y += RIGHT_HAND_INITIAL_POINT.y
self.tmp_pose_right.pose.position.z += RIGHT_HAND_INITIAL_POINT.z
self.tmp_pose_right.pose.orientation = self.last_hydra_message.paddles[1].transform.rotation
self.tmp_pose_left = PoseStamped()
self.tmp_pose_left.header.frame_id = 'base_link'
self.tmp_pose_left.header.stamp = rospy.Time.now()
self.tmp_pose_left.pose.position.x = self.last_hydra_message.paddles[0].transform.translation.x
self.tmp_pose_left.pose.position.y = self.last_hydra_message.paddles[0].transform.translation.y
self.tmp_pose_left.pose.position.z = self.last_hydra_message.paddles[0].transform.translation.z
self.tmp_pose_left.pose.position.x += LEFT_HAND_INITIAL_POINT.x
self.tmp_pose_left.pose.position.y += LEFT_HAND_INITIAL_POINT.y
self.tmp_pose_left.pose.position.z += LEFT_HAND_INITIAL_POINT.z
self.tmp_pose_left.pose.orientation = self.last_hydra_message.paddles[0].transform.rotation
if self.last_hydra_message.paddles[1].buttons[0] == True:
self.pub_right_hand_pose.publish(self.tmp_pose_right)
if self.last_hydra_message.paddles[0].buttons[0] == True:
self.pub_left_hand_pose.publish(self.tmp_pose_left)
self.pub_right_hand_pose_reference.publish(self.tmp_pose_right)
self.pub_left_hand_pose_reference.publish(self.tmp_pose_left)
self.read_message = False
def run(self):
rospy.loginfo("Press LB / RB to send the current pose")
while self.last_hydra_message == None:
rospy.sleep(0.1)
rospy.loginfo("Got the first data of the razer... Now we can do stuff")
sleep_rate=0.05 # check at 20Hz
counter = 0
while True:
counter += 1
rospy.loginfo("Loop #" + str(counter))
if not self.read_message:
self.read_message = True
if self.last_hydra_message.paddles[1].buttons[0] == True:
# send curr left paddle pos to move_group right
rospy.loginfo("sending curr right hand")
self.right_arm_mgc.set_pose_target(self.tmp_pose_right)
self.right_arm_mgc.go(wait=False)
if self.last_hydra_message.paddles[0].buttons[0] == True:
# send curr right paddle pos to move_group left
rospy.loginfo("sending curr left hand")
self.left_arm_mgc.set_pose_target(self.tmp_pose_left)
self.left_arm_mgc.go(wait=False)
if self.last_hydra_message.paddles[1].trigger > 0.0:
# send goal right hand close proportional to trigger value (2.0 max?)
rospy.loginfo("Closing right hand to value: " + str(self.last_hydra_message.paddles[1].trigger * 2.0))
right_hand_goal = self.create_hand_goal(hand_side="right", hand_pose="intermediate", values=self.last_hydra_message.paddles[1].trigger * 2.0)
self.right_hand_as.send_goal(right_hand_goal)
if self.last_hydra_message.paddles[0].trigger > 0.0:
# send goal left hand close proportional to trigger value (2.0 max?)
rospy.loginfo("Closing left hand to value: " + str(self.last_hydra_message.paddles[0].trigger * 2.0))
left_hand_goal = self.create_hand_goal(hand_side="left", hand_pose="intermediate", values=self.last_hydra_message.paddles[0].trigger * 2.0)
self.left_hand_as.send_goal(left_hand_goal)
if self.last_hydra_message.paddles[1].joy[0] != 0.0:
# send torso rotation left(neg)/right (pos)
rospy.loginfo("Rotation torso")
curr_joint_val = self.torso_mgc.get_current_joint_values()
self.torso_mgc.set_joint_value_target("torso_1_joint", curr_joint_val[0] + (self.last_hydra_message.paddles[1].joy[0] * 0.1 * -1))
self.torso_mgc.go(wait=True)
rospy.loginfo("Rotation torso sent!")
if self.last_hydra_message.paddles[1].joy[1] != 0.0:
# send torso inclination front(pos)/back(neg)
rospy.loginfo("Inclination torso")
curr_joint_val = self.torso_mgc.get_current_joint_values()
self.torso_mgc.set_joint_value_target("torso_2_joint", curr_joint_val[1] + (self.last_hydra_message.paddles[1].joy[1] * 0.1))
self.torso_mgc.go(wait=True)
rospy.loginfo("Inclination torso sent!")
if self.last_hydra_message.paddles[0].joy[0] != 0.0 or self.last_hydra_message.paddles[0].joy[1] != 0.0:
twist_goal = Twist()
twist_goal.linear.x = 1.0 * self.last_hydra_message.paddles[0].joy[1]
twist_goal.angular.z = 1.0 * self.last_hydra_message.paddles[0].joy[0] * -1.0
self.pub_move_base.publish(twist_goal)
# move base rotate left (neg)/ right(pos)
rospy.loginfo("Move base")
if self.last_hydra_message.paddles[1].buttons[3] == True:
# thumb up
rospy.loginfo("Right thumb up")
right_thumb_up = self.create_hand_goal(hand_side="right", hand_pose="open")
self.right_hand_as.send_goal(right_thumb_up)
if self.last_hydra_message.paddles[0].buttons[3] == True:
# thumb up
rospy.loginfo("Left thumb up")
left_thumb_up = self.create_hand_goal(hand_side="left", hand_pose="open")
self.left_hand_as.send_goal(left_thumb_up)
if self.last_hydra_message.paddles[1].buttons[1] == True:
# thumb down
rospy.loginfo("Right thumb down")
right_thumb_up = self.create_hand_goal(hand_side="right", hand_pose="closed")
self.right_hand_as.send_goal(right_thumb_up)
if self.last_hydra_message.paddles[0].buttons[1] == True:
# thumb down
rospy.loginfo("Left thumb down")
left_thumb_up = self.create_hand_goal(hand_side="left", hand_pose="closed")
self.left_hand_as.send_goal(left_thumb_up)
rospy.sleep(sleep_rate)
def __init__(self):
# Initialize the move_group API
moveit_commander.roscpp_initialize(sys.argv)
# Initialize the ROS node
rospy.init_node('moveit_demo', anonymous=True)
cartesian = rospy.get_param('~cartesian', True)
# Connect to the right_arm move group
right_arm = MoveGroupCommander('right_arm')
# Allow replanning to increase the odds of a solution
right_arm.allow_replanning(True)
# Set the right arm reference frame
right_arm.set_pose_reference_frame('base_footprint')
# Allow some leeway in position(meters) and orientation (radians)
right_arm.set_goal_position_tolerance(0.01)
right_arm.set_goal_orientation_tolerance(0.1)
# Get the name of the end-effector link
end_effector_link = right_arm.get_end_effector_link()
# Start in the "straight_forward" configuration stored in the SRDF file
right_arm.set_named_target('straight_forward')
# Plan and execute a trajectory to the goal configuration
right_arm.go()
# Get the current pose so we can add it as a waypoint
start_pose = right_arm.get_current_pose(end_effector_link).pose
# Initialize the waypoints list
waypoints = []
# Set the first waypoint to be the starting pose
if cartesian:
# Append the pose to the waypoints list
waypoints.append(start_pose)
wpose = deepcopy(start_pose)
# Set the next waypoint back 0.2 meters and right 0.2 meters
wpose.position.x -= 0.2
wpose.position.y -= 0.2
if cartesian:
# Append the pose to the waypoints list
waypoints.append(deepcopy(wpose))
else:
right_arm.set_pose_target(wpose)
right_arm.go()
rospy.sleep(1)
# Set the next waypoint to the right 0.15 meters
wpose.position.x += 0.05
wpose.position.y += 0.15
wpose.position.z -= 0.15
if cartesian:
# Append the pose to the waypoints list
waypoints.append(deepcopy(wpose))
else:
right_arm.set_pose_target(wpose)
right_arm.go()
rospy.sleep(1)
if cartesian:
# Append the pose to the waypoints list
waypoints.append(deepcopy(start_pose))
else:
right_arm.set_pose_target(start_pose)
right_arm.go()
rospy.sleep(1)
if cartesian:
fraction = 0.0
maxtries = 100
attempts = 0
# Set the internal state to the current state
right_arm.set_start_state_to_current_state()
# Plan the Cartesian path connecting the waypoints
while fraction < 1.0 and attempts < maxtries:
(plan, fraction) = right_arm.compute_cartesian_path (
waypoints, # waypoint poses
0.01, # eef_step
0.0, # jump_threshold
True) # avoid_collisions
# Increment the number of attempts
attempts += 1
# Print out a progress message
if attempts % 10 == 0:
rospy.loginfo("Still trying after " + str(attempts) + " attempts...")
# If we have a complete plan, execute the trajectory
if fraction == 1.0:
rospy.loginfo("Path computed successfully. Moving the arm.")
right_arm.execute(plan)
rospy.loginfo("Path execution complete.")
else:
rospy.loginfo("Path planning failed with only " + str(fraction) + " success after " + str(maxtries) + " attempts.")
# Move normally back to the 'resting' position
right_arm.set_named_target('resting')
right_arm.go()
rospy.sleep(1)
# Shut down MoveIt cleanly
moveit_commander.roscpp_shutdown()
# Exit MoveIt
moveit_commander.os._exit(0)
def __init__(self):
# 初始化move_group的API
moveit_commander.roscpp_initialize(sys.argv)
# 初始化ROS节点
rospy.init_node('moveit_obstacles_demo')
# 初始化场景对象
scene = PlanningSceneInterface()
# 创建一个发布场景变化信息的发布者
self.scene_pub = rospy.Publisher('planning_scene',
PlanningScene,
queue_size=5)
rospy.Subscriber("chatter", Float64MultiArray, callback)
# 创建一个存储物体颜色的字典对象
self.colors = dict()
# 等待场景准备就绪
rospy.sleep(1)
# 初始化需要使用move group控制的机械臂中的arm group
arm = MoveGroupCommander('arm')
gripper = MoveGroupCommander('gripper')
# 获取终端link的名称
end_effector_link = arm.get_end_effector_link()
# 设置位置(单位：米)和姿态（单位：弧度）的允许误差
arm.set_goal_position_tolerance(0.01)
gripper.set_goal_position_tolerance(0.01)
arm.set_goal_orientation_tolerance(0.2)
# 当运动规划失败后，允许重新规划
arm.allow_replanning(True)
# 设置目标位置所使用的参考坐标系
reference_frame = 'base_link'
arm.set_pose_reference_frame(reference_frame)
# 设置每次运动规划的时间限制：5s
arm.set_planning_time(5)
# 设置场景物体的名称
table_id = 'table'
# cy_id = 'cy'
box1_id = 'box1'
box2_id = 'box2'
box3_id = 'box3'
sphere_id = 'sphere'
# 移除场景中之前运行残留的物体
scene.remove_world_object(table_id)
scene.remove_world_object(box1_id)
scene.remove_world_object(box2_id)
scene.remove_world_object(box3_id)
scene.remove_world_object(sphere_id)
rospy.sleep(1)
#控制机械臂先回到初始化位置
arm.set_named_target('init')
arm.go()
rospy.sleep(1)
# arm.set_named_target('start')
# arm.go()
# rospy.sleep(1)
gripper.set_joint_value_target([0.05])
gripper.go()
rospy.sleep(0)
# 设置桌面的高度
table_ground = 0.37
# 设置table、box1和box2的三维尺寸
table_size = [0.2, 0.3, 0.01]
box1_size = [0.01, 0.01, 0.19]
box2_size = [0.01, 0.01, 0.19]
box3_size = [0.005, 0.01, 0.3]
sphere_R = 0.01
error = 0.03
# 将三个物体加入场景当中
table_pose = PoseStamped()
table_pose.header.frame_id = reference_frame
table_pose.pose.position.x = -table_size[0] / 2.0
table_pose.pose.position.y = 0.0
table_pose.pose.position.z = table_ground + table_size[2] / 2.0
table_pose.pose.orientation.w = 1.0
scene.add_box(table_id, table_pose, table_size)
#scene.add_cylinder
box1_pose = PoseStamped()
box1_pose.header.frame_id = reference_frame
box1_pose.pose.position.x = -0.09
box1_pose.pose.position.y = table_size[0] / 2.0
box1_pose.pose.position.z = 0.18 + box1_size[2] / 2.0
box1_pose.pose.orientation.w = 1.0
scene.add_box(box1_id, box1_pose, box1_size)
box2_pose = PoseStamped()
box2_pose.header.frame_id = reference_frame
box2_pose.pose.position.x = -0.09
box2_pose.pose.position.y = -table_size[0] / 2.0
box2_pose.pose.position.z = 0.18 + box1_size[2] / 2.0
box2_pose.pose.orientation.w = 1.0
scene.add_box(box2_id, box2_pose, box2_size)
# box3_pose = PoseStamped()
# box3_pose.header.frame_id = reference_frame
# box3_pose.pose.position.x = pos_aim[0]
# box3_pose.pose.position.y = pos_aim[1]
# box3_pose.pose.position.z = box3_size[2]/2.0+0.1
# box3_pose.pose.orientation.w = 1.0
# scene.add_box(box3_id, box3_pose, box3_size)
sphere_pose = PoseStamped()
sphere_pose.header.frame_id = reference_frame
sphere_pose.pose.position.x = pos_aim[0] + 0
sphere_pose.pose.position.y = pos_aim[1]
sphere_pose.pose.position.z = pos_aim[2]
sphere_pose.pose.orientation.w = 1.0
scene.add_sphere(sphere_id, sphere_pose, sphere_R)
# 将桌子设置成红色，两个box设置成橙色
self.setColor(table_id, 0, 0, 0, 1)
# self.setColor(table_id, 0.8, 0, 0, 1.0)
# self.setColor(box1_id, 0.8, 0.4, 0, 1.0)
self.setColor(box1_id, 1, 1, 1, 1.0)
self.setColor(box2_id, 1, 1, 1, 1.0)
self.setColor(box3_id, 1, 1, 1, 1.0)
self.setColor(sphere_id, 0.8, 0, 0, 1.0)
# 将场景中的颜色设置发布
self.sendColors()
# rospy.INFO("waiting...")
# if(Recive_FLAG==1):
# rospy.INFO("OK！")
# 设置机械臂的运动目标位置
target_pose = PoseStamped()
target_pose.header.frame_id = reference_frame
target_pose.pose.position.x = pos_aim[0] - error
target_pose.pose.position.y = pos_aim[1]
target_pose.pose.position.z = pos_aim[2]
# target_pose.pose.orientation.w = 1.0
#####0.3
# 0.2 0.2 0.2 0.15 0.15
# 0.12 0.11 0.12 0.15 0.15
# 0.30 0.245 0.35 0.35 0.25
# 控制机械臂运动到目标位置
arm.set_pose_target(target_pose, end_effector_link)
arm.go()
rospy.sleep(1)
gripper.set_joint_value_target([0.03])
gripper.go()
rospy.sleep(1)
# # 控制机械臂终端向x移动5cm
arm.shift_pose_target(0, 0.01, end_effector_link)
arm.go()
rospy.sleep(1)
gripper.set_joint_value_target([0.05])
gripper.go()
rospy.sleep(1)
# # 设置机械臂的运动目标位置，进行避障规划
# target_pose2 = PoseStamped()
# target_pose2.header.frame_id = reference_frame
# target_pose2.pose.position.x = 0.15
# target_pose2.pose.position.y = 0 #-0.25
# target_pose2.pose.position.z = table_pose.pose.position.z + table_size[2] + 0.05
# target_pose2.pose.orientation.w = 1.0
# # 控制机械臂运动到目标位置
# arm.set_pose_target(target_pose2, end_effector_link)
# arm.go()
# rospy.sleep(2)
#控制机械臂回到初始化位置
arm.set_named_target('init')
arm.go()
# 关闭并退出moveit
moveit_commander.roscpp_shutdown()
moveit_commander.os._exit(0)
rospy.spin()
#!/usr/bin/env python
import rospy
from moveit_commander import MoveGroupCommander
from sensor_msgs.msg import JointState
from geometry_msgs.msg import Pose
group = MoveGroupCommander("right_arm") # arm for fetch
group.set_end_effector_link('r_gripper_tool_frame')
group.set_pose_reference_frame('/base_footprint')
def pose_callback(pose):
pos = pose.position
qtr = pose.orientation
if qtr.x == 0 and qtr.y == 0 and qtr.z == 0 and qtr.w == 0:
group.set_position_target([pos.x, pos.y, pos.z])
else: group.set_pose_target(pose)
group.go()
def joint_callback(msg):
goal = map(lambda joint_name: msg.position[msg.name.index(joint_name)],
group.get_active_joints())
group.set_joint_value_target(goal)
group.go()
if __name__ == "__main__":
rospy.init_node('movescratch')
rospy.Subscriber("movescratch/pose_goal", Pose, pose_callback)
rospy.Subscriber("movescratch/joint_goal", JointState, joint_callback)
rospy.spin()
def __init__(self):
# 初始化move_group的API
moveit_commander.roscpp_initialize(sys.argv)
# 初始化ROS节点
rospy.init_node('moveit_drawing', anonymous=True)
# 初始化需要使用move group控制的机械臂中的arm group
arm = MoveGroupCommander('manipulator')
# 当运动规划失败后，允许重新规划
arm.allow_replanning(True)
# 设置目标位置所使用的参考坐标系
reference_frame = 'base_link'
arm.set_pose_reference_frame('base_link')
# 设置位置(单位：米)和姿态（单位：弧度）的允许误差
arm.set_goal_position_tolerance(0.01)
arm.set_goal_orientation_tolerance(0.01)
# 设置允许的最大速度和加速度
arm.set_max_acceleration_scaling_factor(0.5)
arm.set_max_velocity_scaling_factor(0.5)
# 获取终端link的名称
end_effector_link = arm.get_end_effector_link()
# 控制机械臂先回到初始化位置
arm.set_named_target('home')
arm.go()
rospy.sleep(1)
star_pose = PoseStamped()
star_pose.header.frame_id = reference_frame
star_pose.header.stamp = rospy.Time.now()
star_pose.pose.position.x = 0.40
star_pose.pose.position.y = 0.0
star_pose.pose.position.z = 0.12
star_pose.pose.orientation.w = 1.0
# 设置机械臂终端运动的目标位姿
arm.set_pose_target(star_pose, end_effector_link)
arm.go()
radius = 0.1
centerY = 0.0
centerX = 0.40 - radius
# 初始化路点列表
waypoints = []
starPoints = []
pose_temp = star_pose
for th in numpy.arange(0, 6.2831855, 1.2566371):
pose_temp.pose.position.y = -(centerY + radius * math.sin(th))
pose_temp.pose.position.x = centerX + radius * math.cos(th)
pose_temp.pose.position.z = 0.113
wpose = deepcopy(pose_temp.pose)
starPoints.append(deepcopy(wpose))
# 将圆弧上的路径点加入列表
waypoints.append(starPoints[0])
waypoints.append(starPoints[2])
waypoints.append(starPoints[4])
waypoints.append(starPoints[1])
waypoints.append(starPoints[3])
waypoints.append(starPoints[0])
fraction = 0.0 #路径规划覆盖率
maxtries = 100 #最大尝试规划次数
attempts = 0 #已经尝试规划次数
# 设置机器臂当前的状态作为运动初始状态
arm.set_start_state_to_current_state()
# 尝试规划一条笛卡尔空间下的路径，依次通过所有路点，完成圆弧轨迹
while fraction < 1.0 and attempts < maxtries:
(plan, fraction) = arm.compute_cartesian_path(
waypoints, # waypoint poses，路点列表
0.01, # eef_step，终端步进值
0.0, # jump_threshold，跳跃阈值
True) # avoid_collisions，避障规划
# 尝试次数累加
attempts += 1
# 打印运动规划进程
if attempts % 10 == 0:
rospy.loginfo("Still trying after " + str(attempts) +
" attempts...")
# 如果路径规划成功（覆盖率100%）,则开始控制机械臂运动
if fraction == 1.0:
rospy.loginfo("Path computed successfully. Moving the arm.")
arm.execute(plan)
rospy.loginfo("Path execution complete.")
# 如果路径规划失败，则打印失败信息
else:
rospy.loginfo("Path planning failed with only " + str(fraction) +
" success after " + str(maxtries) + " attempts.")
rospy.sleep(1)
# 控制机械臂先回到初始化位置
arm.set_named_target('home')
arm.go()
rospy.sleep(1)
# 关闭并退出moveit
moveit_commander.roscpp_shutdown()
moveit_commander.os._exit(0)
def __init__(self):
# Initialize the move_group API
moveit_commander.roscpp_initialize(sys.argv)
# Initialize the ROS node
rospy.init_node('moveit_demo', anonymous=True)
cartesian = rospy.get_param('~cartesian', True)
# Connect to the arm move group
arm = MoveGroupCommander('arm')
# Allow replanning to increase the odds of a solution
arm.allow_replanning(True)
# Set the right arm reference frame
arm.set_pose_reference_frame('base_link')
# Allow some leeway in position(meters) and orientation (radians)
arm.set_goal_position_tolerance(0.01)
arm.set_goal_orientation_tolerance(0.05)
# Get the name of the end-effector link
end_effector_link = arm.get_end_effector_link()
# Set an initial position for the arm
start_position = [0.0, 0.5, -0.0074579719079, -1.67822729461, -3.1415174069, -1.1, 3.1415174069]
# Set the goal pose of the end effector to the stored pose
arm.set_joint_value_target(start_position)
# Plan and execute a trajectory to the goal configuration
arm.go()
# Get the current pose so we can add it as a waypoint
start_pose = arm.get_current_pose(end_effector_link).pose
# Initialize the waypoints list
waypoints = []
# Set the first waypoint to be the starting pose
if cartesian:
# Append the pose to the waypoints list
waypoints.append(start_pose)
wpose = deepcopy(start_pose)
# Move end effector to the right 0.3 meters
wpose.position.y -= 0.3
if cartesian:
# Append the pose to the waypoints list
waypoints.append(deepcopy(wpose))
else:
arm.set_pose_target(wpose)
arm.go()
rospy.sleep(1)
# Move end effector up and back
wpose.position.x -= 0.2
wpose.position.z += 0.3
if cartesian:
# Append the pose to the waypoints list
waypoints.append(deepcopy(wpose))
else:
arm.set_pose_target(wpose)
arm.go()
rospy.sleep(1)
if cartesian:
# Append the pose to the waypoints list
waypoints.append(deepcopy(start_pose))
else:
arm.set_pose_target(start_pose)
arm.go()
rospy.sleep(1)
if cartesian:
fraction = 0.0
maxtries = 100
attempts = 0
# Set the internal state to the current state
arm.set_start_state_to_current_state()
# Plan the Cartesian path connecting the waypoints
while fraction < 1.0 and attempts < maxtries:
(plan, fraction) = arm.compute_cartesian_path (
waypoints, # waypoint poses
0.025, # eef_step
0.0, # jump_threshold
True) # avoid_collisions
# Increment the number of attempts
attempts += 1
# Print out a progress message
if attempts % 10 == 0:
rospy.loginfo("Still trying after " + str(attempts) + " attempts...")
# If we have a complete plan, execute the trajectory
if fraction == 1.0:
rospy.loginfo("Path computed successfully. Moving the arm.")
arm.execute(plan)
rospy.loginfo("Path execution complete.")
else:
rospy.loginfo("Path planning failed with only " + str(fraction) + " success after " + str(maxtries) + " attempts.")
# Shut down MoveIt cleanly
moveit_commander.roscpp_shutdown()
# Exit MoveIt
moveit_commander.os._exit(0)
def __init__(self):
# 初始化move_group的API
moveit_commander.roscpp_initialize(sys.argv)
# 初始化ROS节点
rospy.init_node('moveit_cartesian_demo', anonymous=True)
# 初始化需要使用move group控制的机械臂中的arm group
arm = MoveGroupCommander('manipulator')
# 当运动规划失败后，允许重新规划
arm.allow_replanning(True)
# 设置目标位置所使用的参考坐标系
arm.set_pose_reference_frame('base_link')
# 设置位置(单位：米)和姿态（单位：弧度）的允许误差
arm.set_goal_position_tolerance(0.001)
arm.set_goal_orientation_tolerance(0.001)
# 设置允许的最大速度和加速度
arm.set_max_acceleration_scaling_factor(0.5)
arm.set_max_velocity_scaling_factor(0.5)
# 获取终端link的名称
end_effector_link = arm.get_end_effector_link()
# 控制机械臂先回到初始化位置
arm.set_named_target('home')
arm.go()
rospy.sleep(1)
# 获取当前位姿数据最为机械臂运动的起始位姿
start_pose = arm.get_current_pose(end_effector_link).pose
print start_pose
# 初始化路点列表
waypoints = []
# 将初始位姿加入路点列表
waypoints.append(start_pose)
# 设置路点数据，并加入路点列表
wpose = deepcopy(start_pose)
wpose.position.z -= 0.2
waypoints.append(deepcopy(wpose))
wpose.position.x += 0.1
waypoints.append(deepcopy(wpose))
wpose.position.y += 0.1
waypoints.append(deepcopy(wpose))
fraction = 0.0 #路径规划覆盖率
maxtries = 100 #最大尝试规划次数
attempts = 0 #已经尝试规划次数
# 设置机器臂当前的状态作为运动初始状态
arm.set_start_state_to_current_state()
# 尝试规划一条笛卡尔空间下的路径，依次通过所有路点
while fraction < 1.0 and attempts < maxtries:
(plan, fraction) = arm.compute_cartesian_path(
waypoints, # waypoint poses，路点列表
0.01, # eef_step，终端步进值
0.0, # jump_threshold，跳跃阈值
True) # avoid_collisions，避障规划
# 尝试次数累加
attempts += 1
# 打印运动规划进程
if attempts % 10 == 0:
rospy.loginfo("Still trying after " + str(attempts) +
" attempts...")
# 如果路径规划成功（覆盖率100%）,则开始控制机械臂运动
if fraction == 1.0:
rospy.loginfo("Path computed successfully. Moving the arm.")
arm.execute(plan)
rospy.loginfo("Path execution complete.")
# 如果路径规划失败，则打印失败信息
else:
rospy.loginfo("Path planning failed with only " + str(fraction) +
" success after " + str(maxtries) + " attempts.")
rospy.sleep(1)
# 控制机械臂先回到初始化位置
arm.set_named_target('home')
arm.go()
rospy.sleep(1)
# 关闭并退出moveit
moveit_commander.roscpp_shutdown()
moveit_commander.os._exit(0)
def __init__(self):
# Initialize the move_group API
moveit_commander.roscpp_initialize(sys.argv)
# Initialize the ROS node
rospy.init_node('moveit_demo', anonymous=True)
robot = RobotCommander()
# Connect to the right_arm move group
right_arm = MoveGroupCommander(GROUP_NAME_ARM)
# Initialize the move group for the right gripper
right_gripper = MoveGroupCommander(GROUP_NAME_GRIPPER)
# Increase the planning time since contraint planning can take a while
right_arm.set_planning_time(15)
# Allow replanning to increase the odds of a solution
right_arm.allow_replanning(True)
# Set the right arm reference frame
right_arm.set_pose_reference_frame(REFERENCE_FRAME)
# Allow some leeway in position(meters) and orientation (radians)
right_arm.set_goal_position_tolerance(0.05)
right_arm.set_goal_orientation_tolerance(0.1)
# Get the name of the end-effector link
end_effector_link = right_arm.get_end_effector_link()
# Start in the "resting" configuration stored in the SRDF file
right_arm.set_named_target('resting')
# Plan and execute a trajectory to the goal configuration
right_arm.go()
rospy.sleep(1)
# Open the gripper
right_gripper.set_joint_value_target(GRIPPER_NEUTRAL)
right_gripper.go()
rospy.sleep(1)
# Set an initial target pose with the arm up and to the right
target_pose = PoseStamped()
target_pose.header.frame_id = REFERENCE_FRAME
target_pose.pose.position.x = 0.237012590198
target_pose.pose.position.y = -0.0747191267505
target_pose.pose.position.z = 0.901578401949
target_pose.pose.orientation.w = 1.0
# Set the start state and target pose, then plan and execute
right_arm.set_start_state(robot.get_current_state())
right_arm.set_pose_target(target_pose, end_effector_link)
right_arm.go()
rospy.sleep(2)
# Close the gripper
right_gripper.set_joint_value_target(GRIPPER_CLOSED)
right_gripper.go()
rospy.sleep(1)
# Store the current pose
start_pose = right_arm.get_current_pose(end_effector_link)
# Create a contraints list and give it a name
constraints = Constraints()
constraints.name = "Keep gripper horizontal"
# Create an orientation constraint for the right gripper
orientation_constraint = OrientationConstraint()
orientation_constraint.header = start_pose.header
orientation_constraint.link_name = right_arm.get_end_effector_link()
orientation_constraint.orientation.w = 1.0
orientation_constraint.absolute_x_axis_tolerance = 0.1
orientation_constraint.absolute_y_axis_tolerance = 0.1
orientation_constraint.absolute_z_axis_tolerance = 3.14
orientation_constraint.weight = 1.0
# Append the constraint to the list of contraints
constraints.orientation_constraints.append(orientation_constraint)
# Set the path constraints on the right_arm
right_arm.set_path_constraints(constraints)
# Set a target pose for the arm
target_pose = PoseStamped()
target_pose.header.frame_id = REFERENCE_FRAME
target_pose.pose.position.x = 0.173187824708
target_pose.pose.position.y = -0.0159929871606
target_pose.pose.position.z = 0.692596608605
target_pose.pose.orientation.w = 1.0
# Set the start state and target pose, then plan and execute
right_arm.set_start_state_to_current_state()
right_arm.set_pose_target(target_pose, end_effector_link)
right_arm.go()
rospy.sleep(1)
# Clear all path constraints
right_arm.clear_path_constraints()
# Open the gripper
right_gripper.set_joint_value_target(GRIPPER_NEUTRAL)
right_gripper.go()
rospy.sleep(1)
# Return to the "resting" configuration stored in the SRDF file
right_arm.set_named_target('resting')
# Plan and execute a trajectory to the goal configuration
right_arm.go()
rospy.sleep(1)
# Shut down MoveIt cleanly
moveit_commander.roscpp_shutdown()
# Exit MoveIt
moveit_commander.os._exit(0)
rospy.loginfo("Target Pose:\n{}".format(target_posestamped))
group.set_pose_target(target_posestamped)
group.go()
rospy.loginfo("Current Reference Frame: {}".format(
group.get_pose_reference_frame()))
# Go Back to Initial Pose
group.set_pose_target(initial_pose.pose)
group.go()
# Relative Target with set_pose_reference_frame
rospy.loginfo("Using set_pose_refercence_frame() and Pose")
group.set_pose_reference_frame('/LARM_JOINT5_Link')
rospy.loginfo("Current Reference Frame: {}".format(
group.get_pose_reference_frame()))
rospy.loginfo("Target Pose:\n{}".format(target_pose))
group.set_pose_target(target_pose)
group.go()
# Reset Pose Reference Frame
group.set_pose_reference_frame(initial_reference_frame)
rospy.loginfo("Current Reference Frame: {}".format(
group.get_pose_reference_frame()))
# Go Back to Initial Pose
rospy.loginfo("Go Back to Initial Pose...")
group.set_pose_target(initial_pose)
class Arm_Controller:
def __init__(self):
# Give the launch a chance to catch up
# rospy.sleep(5)
# Initialize the move_group API
moveit_commander.roscpp_initialize(sys.argv)
rospy.init_node('Arm_Controller')
rospy.loginfo("Launched Arm Controller")
# constants
self.GROUP_NAME_ARM = 'arm'
self.GRIPPER_FRAME = 'gripper_link'
self.REFERENCE_FRAME = 'base_link'
self.ARM_BASE_FRAME = 'arm_base_link'
self.done = True
self.test_pose_publisher = rospy.Publisher('/test_arm_pose', PoseStamped)
rospy.Subscriber("/arm_target_pose", PoseStamped, self.move_arm_to_pose, queue_size=1)
self.robot_name = "gatlin"
move_arm_service = createService('gatlin/move/arm', MoveRobot, self.handle_move_arm)
# We need a tf listener to convert poses into arm reference base
self.tfl = tf.TransformListener()
# Initialize the move group for the right arm
self.arm = MoveGroupCommander(self.GROUP_NAME_ARM)
self.gripper = Gripper()
self.robot = moveit_commander.RobotCommander()
# Allow replanning to increase the odds of a solution
self.arm.allow_replanning(True)
# Set the planner
self.arm.set_planner_id("RRTConnectkConfigDefault")
# Set the right arm reference frame
self.arm.set_pose_reference_frame(self.REFERENCE_FRAME)
# Give the scene a chance to catch up
rospy.sleep(1)
# Allow some leeway in position (meters) and orientation (radians)
# USELESS; do not work on pick and place! Explained on this issue:
# https://github.com/ros-planning/moveit_ros/issues/577
self.arm.set_goal_position_tolerance(0.005)
self.arm.set_goal_orientation_tolerance(0.05)
# Allow 2 seconds per planning attempt
self.arm.set_planning_time(2.0)
# Create a quaternion from the Euler angles
#q = quaternion_from_euler(0, pitch, yaw)
# horiz = Quaternion(-0.023604, 0.99942, 0.00049317, 0.024555)
# deg45 = Quaternion(-0.022174, 0.9476, 0.0074215, 0.31861)
down = Quaternion(-0.00035087, 0.73273, 0.00030411, 0.68052)
# back_pos = Point(-0.03, 0.0313, 0.476)
# init rest pose
self.rest_pose = PoseStamped()
self.rest_pose.header.frame_id = self.REFERENCE_FRAME
self.rest_pose.pose.position = Point(-0.06, 0.00, 0.35)
self.rest_pose.pose.orientation = Quaternion(0.0251355325061, 0.982948881414, -0.0046583987932, 0.182093384981)
# init place_upper pose
self.place_upper_pose = PoseStamped()
self.place_upper_pose.header.frame_id = self.REFERENCE_FRAME
self.place_upper_pose.pose.position = Point(0.24713, -0.0051618, 0.37998)
self.place_upper_pose.pose.orientation = Quaternion(0.0030109, 0.1472, -0.020231, 0.9889)
# init current pose
self.current_pose = PoseStamped()
self.current_pose.header.frame_id = self.REFERENCE_FRAME
self.current_pose.pose.position = Point(0,0,0)
self.current_pose.pose.orientation = down
# Open the gripper
rospy.loginfo("Set Gripper: open")
self.gripper.set(1.0)
# self.arm.set_pose_target(self.rest_pose)
# self.arm.go()
# rospy.sleep(1)
# self.ar = ArbotixROS()
# rate = rospy.Rate(30)
# while not rospy.is_shutdown():
# # rospy.logerr(self.ar.getVoltage(4))
# # rospy.logerr(self.ar.getSpeed(5))
# rospy.logerr(self.ar.getPosition(1))
# rate.sleep()
rospy.spin()
def MoveToPoseWithIntermediate(self, ps, offsets) :
success = False
for offset in offsets:
# interpose = getOffsetPose(hand_pose, offset)
interpose = getOffsetPose(ps, offset)
success = self.MoveToPose(interpose, "MoveToIntermediatePose")
rospy.sleep(1)
success = self.MoveToPose(ps, "MoveToPose")
return success
def MoveToPose(self, ps, name) :
newpose = self.transform_pose(self.REFERENCE_FRAME, ps)
down = Quaternion(-0.00035087, 0.73273, 0.00030411, 0.68052)
newpose.pose.orientation = down
if self.move_arm_to_pose(newpose) :
rospy.loginfo("SUCCEEDED: %s" % name)
return True
else :
rospy.logerr("FAILED %s" % name)
return False
def move_arm_to_pose(self, ps):
arm_target_pose = deepcopy(ps)
arm_target_pose.header.stamp = rospy.Time.now()
self.test_pose_publisher.publish(arm_target_pose)
self.arm.set_pose_target(arm_target_pose)
success = self.arm.go()
return success
def handle_move_arm(self, req):
success = True
gripper = self.gripper
if req.action == "OPEN_GRIPPER":
rospy.loginfo("Beginning to open gripper")
gripper.open(block=True)
rospy.loginfo("Opened Gripper")
elif req.action == "CLOSE_GRIPPER" :
rospy.loginfo("Beginning to close Gripper")
gripper.close(block=True)
rospy.loginfo("Closed Gripper")
elif req.action == "MOVE_TO_POSE_INTERMEDIATE" :
rospy.loginfo("Trying to Move To Pose With Intermediate")
offsets = [Vector3(0,0,.07)]
success = self.MoveToPoseWithIntermediate(req.ps, offsets)
elif req.action == "MOVE_TO_POSE" :
rospy.loginfo("Trying to Move To Pose")
success = self.MoveToPose(req.ps, "FAILED MoveToPose")
elif req.action == "RESET_ARM" :
rospy.loginfo("Trying to Move To Rest Pose")
success = self.move_arm_to_pose(self.rest_pose)
elif req.action == "PLACE_UPPER" :
rospy.loginfo("Trying to Move To Place Upper Pose")
success = self.move_arm_to_pose(self.place_upper_pose)
# success = self.MoveToPose(self.rest_pose, "FAILED MoveToRestPose")
# elif req.action == "MOVE_TO_POS" :
# rospy.loginfo("Trying to Move To Pos")
# new_pose = Pose()
# if req.limb == 'left':
# try:
# self.initial_left
# new_pose = deepcopy(self.initial_left)
# except AttributeError:
# new_pose = deepcopy(self.hand_pose_left)
# self.initial_left = deepcopy(self.hand_pose_left)
# elif req.limb == 'right':
# try:
# self.initial_right
# new_pose = deepcopy(self.initial_right)
# except AttributeError:
# new_pose = deepcopy(self.hand_pose_right)
# self.initial_right = deepcopy(self.hand_pose_right)
# new_pose.position = deepcopy(req.pose.position)
# # success = self.MoveToPose(req.limb, new_pose, "FAILED MoveToPose")
# success = self.MoveToPoseWithIntermediate(req.limb, new_pose)
# rospy.loginfo("Moved to pos: %r" % success)
else :
success = False
rospy.logerr("invalid action")
return MoveRobotResponse(success)
def orientation_cb(self, data):
if(data.x == -1.0 and data.y == -2.0):
print "################################################"
print "################### Orientation! #############"
print "################################################"
deg = data.z*15
rad = -deg * pi/180 + pi/2
print rad
q = quaternion_from_euler(0,rad,0)
self.current_pose.pose.orientation.x = q[0]
self.current_pose.pose.orientation.y = q[1]
self.current_pose.pose.orientation.z = q[2]
self.current_pose.pose.orientation.w = q[3]
else:
return
# transform the pose stamped to the new frame
def transform_pose(self, new_frame, pose):
if pose.header.frame_id == new_frame:
return pose
try:
ps = deepcopy(pose)
ps.header.stamp = rospy.Time(0)
self.tfl.waitForTransform(ps.header.frame_id, new_frame, rospy.Time(0), rospy.Duration(4.0))
new_pose = self.tfl.transformPose(new_frame, ps)
new_pose.header.stamp = deepcopy(pose.header.stamp)
return new_pose
except Exception as e:
rospy.logerr(e)
rospy.logerr("no transform")
return None
def callback(pose):
object_position_info = pose.position
object_orientation_info = pose.orientation
print object_position_info
moveit_commander.roscpp_initialize(sys.argv)
#rospy.init_node('moveit_cartesian', anonymous=True)
cartesian = rospy.get_param('~cartesian', True)
#set cartesian parameters
ur5_manipulator = MoveGroupCommander('manipulator')
ur5_gripper = MoveGroupCommander('gripper')
ur5_manipulator.allow_replanning(True)
ur5_manipulator.set_pose_reference_frame('base_link')
ur5_manipulator.set_goal_position_tolerance(0.01)
ur5_manipulator.set_goal_orientation_tolerance(0.1)
end_effector_link = ur5_manipulator.get_end_effector_link()
ur5_manipulator.set_named_target('home_j')
ur5_manipulator.go()
ur5_gripper.set_named_target('open')
ur5_gripper.go()
#get the end effort information
start_pose = ur5_manipulator.get_current_pose(end_effector_link).pose
print("The first waypoint:")
print(start_pose)
#define waypoints
waypoints = []
waypoints.append(start_pose)
wpose = deepcopy(start_pose)
wpose.position.z = object_position_info.z+0.25
wpose.position.x = object_position_info.x
wpose.position.y = object_position_info.y
print("The second waypoint:")
print(wpose)
waypoints.append(deepcopy(wpose))
print(" ")
print(waypoints)
if cartesian:
fraction = 0.0
maxtries = 100
attempts = 0
while fraction < 1.0 and attempts < maxtries:
(plan, fraction) = ur5_manipulator.compute_cartesian_path (
waypoints,
0.01,
0.0,
True)
attempts += 1
if attempts % 10 == 0:
rospy.loginfo("Still trying after " + str(attempts) + " attempts...")
if fraction == 1.0:
rospy.loginfo("Path computed successfully. Moving the arm.")
ur5_manipulator.execute(plan)
rospy.sleep(2)
rospy.loginfo("Path execution complete.")
else:
rospy.loginfo("Path planning failed with only " + str(fraction) + " success after " + str(maxtries) + " attempts.")
rospy.sleep(3)
ur5_gripper.set_named_target("close")
plan = ur5_gripper.go()
rospy.sleep(2)
ur5_manipulator.set_named_target('home_j')
ur5_manipulator.go()
rospy.sleep(3)
moveit_commander.roscpp_shutdown()
class ArmTracker:
def __init__(self):
rospy.init_node('arm_tracker')
rospy.on_shutdown(self.shutdown)
# Maximum distance of the target before the arm will lower
self.max_target_dist = 1.2
# Arm length to center of gripper frame
self.arm_length = 0.4
# Distance between the last target and the new target before we move the arm
self.last_target_threshold = 0.01
# Distance between target and end-effector before we move the arm
self.target_ee_threshold = 0.025
# Initialize the move group for the right arm
self.right_arm = MoveGroupCommander(GROUP_NAME_ARM)
# Initialize the move group for the right gripper
right_gripper = MoveGroupCommander(GROUP_NAME_GRIPPER)
# Set the reference frame for pose targets
self.reference_frame = REFERENCE_FRAME
# Keep track of the last target pose
self.last_target_pose = PoseStamped()
# Set the right arm reference frame accordingly
self.right_arm.set_pose_reference_frame(self.reference_frame)
# Allow replanning to increase the chances of a solution
self.right_arm.allow_replanning(False)
# Set a position tolerance in meters
self.right_arm.set_goal_position_tolerance(0.05)
# Set an orientation tolerance in radians
self.right_arm.set_goal_orientation_tolerance(0.2)
# What is the end effector link?
self.ee_link = self.right_arm.get_end_effector_link()
# Create the transform listener
self.listener = tf.TransformListener()
# Queue up some tf data...
rospy.sleep(3)
# Set the gripper target to closed position using a joint value target
right_gripper.set_joint_value_target(GRIPPER_CLOSED)
# Plan and execute the gripper motion
right_gripper.go()
rospy.sleep(1)
# Subscribe to the target topic
rospy.wait_for_message('/target_pose', PoseStamped)
# Use queue_size=1 so we don't pile up outdated target messages
self.target_subscriber = rospy.Subscriber('/target_pose', PoseStamped, self.update_target_pose, queue_size=1)
rospy.loginfo("Ready for action!")
while not rospy.is_shutdown():
try:
target = self.target
except:
rospy.sleep(0.5)
continue
# Timestamp the target with the current time
target.header.stamp = rospy.Time()
# Get the target pose in the right_arm shoulder lift frame
#target_arm = self.listener.transformPose('right_arm_shoulder_pan_link', target)
target_arm = self.listener.transformPose('right_arm_base_link', target)
# Convert the position values to a Python list
p0 = [target_arm.pose.position.x, target_arm.pose.position.y, target_arm.pose.position.z]
# Compute the distance between the target and the shoulder link
dist_target_shoulder = euclidean(p0, [0, 0, 0])
# If the target is too far away, then lower the arm
if dist_target_shoulder > self.max_target_dist:
rospy.loginfo("Target is too far away")
self.right_arm.set_named_target('resting')
self.right_arm.go()
rospy.sleep(1)
continue
# Transform the pose to the base reference frame
target_base = self.listener.transformPose(self.reference_frame, target)
# Compute the distance between the current target and the last target
p1 = [target_base.pose.position.x, target_base.pose.position.y, target_base.pose.position.z]
p2 = [self.last_target_pose.pose.position.x, self.last_target_pose.pose.position.y, self.last_target_pose.pose.position.z]
dist_last_target = euclidean(p1, p2)
# Move the arm only if we are far enough away from the previous target
if dist_last_target < self.last_target_threshold:
rospy.loginfo("Still close to last target")
rospy.sleep(0.5)
continue
# Get the pose of the end effector in the base reference frame
ee_pose = self.right_arm.get_current_pose(self.ee_link)
# Convert the position values to a Python list
p3 = [ee_pose.pose.position.x, ee_pose.pose.position.y, ee_pose.pose.position.z]
# Compute the distance between the target and the end-effector
dist_target = euclidean(p1, p3)
# Only move the arm if we are far enough away from the target
if dist_target < self.target_ee_threshold:
rospy.loginfo("Already close enough to target")
rospy.sleep(1)
continue
# We want the gripper somewhere on the line connecting the shoulder and the target.
# Using a parametric form of the line, the parameter ranges from 0 to the
# minimum of the arm length and the distance to the target.
t_max = min(self.arm_length, dist_target_shoulder)
# Bring it back 10% so we don't collide with the target
t = 0.9 * t_max
# Now compute the target positions from the parameter
try:
target_arm.pose.position.x *= (t / dist_target_shoulder)
target_arm.pose.position.y *= (t / dist_target_shoulder)
target_arm.pose.position.z *= (t / dist_target_shoulder)
except:
rospy.sleep(1)
rospy.loginfo("Exception!")
continue
# Transform to the base_footprint frame
target_ee = self.listener.transformPose(self.reference_frame, target_arm)
# Set the target gripper orientation to be horizontal
target_ee.pose.orientation.x = 0
target_ee.pose.orientation.y = 0
target_ee.pose.orientation.z = 0
target_ee.pose.orientation.w = 1
# Update the current start state
self.right_arm.set_start_state_to_current_state()
# Set the target pose for the end-effector
self.right_arm.set_pose_target(target_ee, self.ee_link)
# Plan and execute the trajectory
success = self.right_arm.go()
if success:
# Store the current target as the last target
self.last_target_pose = target
# Pause a bit between motions to keep from locking up
rospy.sleep(0.5)
def update_target_pose(self, target):
self.target = target
def relax_all_servos(self):
command = 'rosrun donaxi_dynamixels arbotix_relax_all_servos.py'
args = shlex.split(command)
subprocess.Popen(args)
def shutdown(self):
# Stop any further target messages from being processed
self.target_subscriber.unregister()
# Stop any current arm movement
self.right_arm.stop()
# Move to the resting position
self.right_arm.set_named_target('resting')
self.right_arm.go()
# Relax the servos
self.relax_all_servos()
os._exit(0)
def __init__(self):
# 初始化move_group的API
moveit_commander.roscpp_initialize(sys.argv)
# 初始化ROS节点
rospy.init_node('moveit_cartesian_demo', anonymous=True)
# 是否需要使用笛卡尔空间的运动规划
cartesian = rospy.get_param('~cartesian', True)
# 初始化需要使用move group控制的机械臂中的arm group
arm = MoveGroupCommander('manipulator')
# 当运动规划失败后，允许重新规划
arm.allow_replanning(True)
# 设置目标位置所使用的参考坐标系
arm.set_pose_reference_frame('base_link')
# 设置位置(单位：米)和姿态（单位：弧度）的允许误差
arm.set_goal_position_tolerance(0.001)
arm.set_goal_orientation_tolerance(0.1)
# 获取终端link的名称
end_effector_link = arm.get_end_effector_link()
# 设置每次运动规划的时间限制：1s
arm.set_planning_time(1)
# 控制机械臂运动到之前设置的“home”姿态
arm.set_named_target('home')
arm.go()
# 获取当前位姿数据为机械臂运动的起始位姿
start_pose = arm.get_current_pose(end_effector_link).pose
# --------------------- 第一段轨迹生成，关节空间插值 ---------------------#
# 设置机械臂的目标位置，使用六轴的位置数据进行描述（单位：弧度）
joint_positions = [0, -1, 1, 0, -1, 0]
arm.set_joint_value_target(joint_positions)
# 控制机械臂完成运动
arm.go()
rospy.sleep(0.5)
# 获取当前位姿数据为机械臂运动的起始位姿
start_pose = arm.get_current_pose(end_effector_link).pose
# --------------------- 第一段轨迹生成，关节空间插值 ---------------------#
# 初始化路点列表
waypoints = []
# 将初始位姿加入路点列表
if cartesian:
waypoints.append(start_pose)
# 设置第二个路点数据，并加入路点列表
# 第二个路点需要向后运动0.3米，向右运动0.3米
wpose = deepcopy(start_pose)
wpose.orientation.x = 0
wpose.orientation.y = 0.707106781186547
wpose.orientation.z = 0
wpose.orientation.w = 0.707106781186547
wpose.position.x -= 0.2
# wpose.position.y -= 0.4
wpose.position.z -= 1
if cartesian:
waypoints.append(deepcopy(wpose))
else:
arm.set_pose_target(wpose)
arm.go()
rospy.sleep(1)
# 设置第三个路点数据，并加入路点列表
wpose.orientation.x = 0
wpose.orientation.y = 0.707106781186547
wpose.orientation.z = 0
wpose.orientation.w = 0.707106781186547
# wpose.position.x -= 0.5
wpose.position.y -= 0.5
wpose.position.z += 0.2
# wpose.position.x += 0.15
# wpose.position.y += 0.1
# wpose.position.z -= 0.15
if cartesian:
waypoints.append(deepcopy(wpose))
else:
arm.set_pose_target(wpose)
arm.go()
rospy.sleep(1)
# 设置第四个路点数据，回到初始位置，并加入路点列表
if cartesian:
waypoints.append(deepcopy(start_pose))
else:
arm.set_pose_target(start_pose)
arm.go()
rospy.sleep(1)
if cartesian:
fraction = 0.0 #路径规划覆盖率
maxtries = 100 #最大尝试规划次数
attempts = 0 #已经尝试规划次数
# 设置机器臂当前的状态作为运动初始状态
arm.set_start_state_to_current_state()
# 尝试规划一条笛卡尔空间下的路径，依次通过所有路点
while fraction < 1.0 and attempts < maxtries:
(plan, fraction) = arm.compute_cartesian_path (
waypoints, # waypoint poses，路点列表
0.01, # eef_step，终端步进值
0.0, # jump_threshold，跳跃阈值
True) # avoid_collisions，避障规划
# 尝试次数累加
attempts += 1
# 打印运动规划进程
if attempts % 10 == 0:
rospy.loginfo("Still trying after " + str(attempts) + " attempts...")
# 如果路径规划成功（覆盖率100%）,则开始控制机械臂运动
if fraction == 1.0:
rospy.loginfo("Path computed successfully. Moving the arm.")
arm.execute(plan)
rospy.loginfo("Path execution complete.")
# 如果路径规划失败，则打印失败信息
else:
rospy.loginfo("Path planning failed with only " + str(fraction) + " success after " + str(maxtries) + " attempts.")
# 控制机械臂回到初始化位置
arm.set_named_target('home')
arm.go()
rospy.sleep(1)
# 关闭并退出moveit
moveit_commander.roscpp_shutdown()
moveit_commander.os._exit(0)
def __init__(self):
# Initialize the move_group API
moveit_commander.roscpp_initialize(sys.argv)
rospy.init_node('moveit_demo')
# Use the planning scene object to add or remove objects
scene = PlanningSceneInterface("base_link")
# Create a scene publisher to push changes to the scene
self.scene_pub = rospy.Publisher('planning_scene', PlanningScene)
# Create a publisher for displaying gripper poses
self.gripper_pose_pub = rospy.Publisher('gripper_pose', PoseStamped)
# Create a dictionary to hold object colors
self.colors = dict()
# Initialize the move group for the right arm
right_arm = MoveGroupCommander(GROUP_NAME_ARM)
# Initialize the move group for the right gripper
right_gripper = MoveGroupCommander(GROUP_NAME_GRIPPER)
# Get the name of the end-effector link
end_effector_link = right_arm.get_end_effector_link()
# Allow some leeway in position (meters) and orientation (radians)
right_arm.set_goal_position_tolerance(0.05)
right_arm.set_goal_orientation_tolerance(0.1)
# Allow replanning to increase the odds of a solution
right_arm.allow_replanning(True)
# Set the right arm reference frame
right_arm.set_pose_reference_frame(REFERENCE_FRAME)
# Allow 5 seconds per planning attempt
right_arm.set_planning_time(15)
# Set a limit on the number of pick attempts before bailing
max_pick_attempts = 5
# Set a limit on the number of place attempts
max_place_attempts = 3
# Give the scene a chance to catch up
rospy.sleep(2)
# Connect to the UBR-1 find_objects action server
rospy.loginfo("Connecting to basic_grasping_perception/find_objects...")
find_objects = actionlib.SimpleActionClient("basic_grasping_perception/find_objects", FindGraspableObjectsAction)
find_objects.wait_for_server()
rospy.loginfo("...connected")
# Give the scene a chance to catch up
rospy.sleep(1)
# Start the arm in the "resting" pose stored in the SRDF file
right_arm.set_named_target('resting')
right_arm.go()
# Open the gripper to the neutral position
right_gripper.set_joint_value_target(GRIPPER_NEUTRAL)
right_gripper.go()
rospy.sleep(1)
# Begin the main perception and pick-and-place loop
while not rospy.is_shutdown():
# Initialize the grasping goal
goal = FindGraspableObjectsGoal()
# We don't use the UBR-1 grasp planner as it does not work with our gripper
goal.plan_grasps = False
# Send the goal request to the find_objects action server which will trigger
# the perception pipeline
find_objects.send_goal(goal)
# Wait for a result
find_objects.wait_for_result(rospy.Duration(5.0))
# The result will contain support surface(s) and objects(s) if any are detected
find_result = find_objects.get_result()
# Display the number of objects found
rospy.loginfo("Found %d objects" % len(find_result.objects))
# Remove all previous objects from the planning scene
for name in scene.getKnownCollisionObjects():
scene.removeCollisionObject(name, False)
for name in scene.getKnownAttachedObjects():
scene.removeAttachedObject(name, False)
scene.waitForSync()
# Clear the virtual object colors
scene._colors = dict()
# Use the nearest object on the table as the target
target_pose = PoseStamped()
target_pose.header.frame_id = REFERENCE_FRAME
target_size = None
the_object = None
the_object_dist = 1.0
count = -1
# Cycle through all detected objects and keep the nearest one
for obj in find_result.objects:
count += 1
scene.addSolidPrimitive("object%d"%count,
obj.object.primitives[0],
obj.object.primitive_poses[0],
wait = False)
# Choose the object nearest to the robot
dx = obj.object.primitive_poses[0].position.x - args.x
dy = obj.object.primitive_poses[0].position.y
d = math.sqrt((dx * dx) + (dy * dy))
if d < the_object_dist:
the_object_dist = d
the_object = count
# Get the size of the target
target_size = obj.object.primitives[0].dimensions
# Set the target pose
target_pose.pose = obj.object.primitive_poses[0]
# We want the gripper to be horizontal
target_pose.pose.orientation.x = 0.0
target_pose.pose.orientation.y = 0.0
target_pose.pose.orientation.z = 0.0
target_pose.pose.orientation.w = 1.0
# Make sure we found at least one object before setting the target ID
if the_object != None:
target_id = "object%d"%the_object
# Insert the support surface into the planning scene
for obj in find_result.support_surfaces:
# Extend surface to floor
height = obj.primitive_poses[0].position.z
obj.primitives[0].dimensions = [obj.primitives[0].dimensions[0],
2.0, # make table wider
obj.primitives[0].dimensions[2] + height]
obj.primitive_poses[0].position.z += -height/2.0
# Add to scene
scene.addSolidPrimitive(obj.name,
obj.primitives[0],
obj.primitive_poses[0],
wait = False)
# Get the table dimensions
table_size = obj.primitives[0].dimensions
# If no objects detected, try again
if the_object == None or target_size is None:
rospy.logerr("Nothing to grasp! try again...")
continue
# Wait for the scene to sync
scene.waitForSync()
# Set colors of the table and the object we are grabbing
scene.setColor(target_id, 223.0/256.0, 90.0/256.0, 12.0/256.0) # orange
scene.setColor(find_result.objects[the_object].object.support_surface, 0.3, 0.3, 0.3, 0.7) # grey
scene.sendColors()
# Skip pick-and-place if we are just detecting objects
if args.objects:
if args.once:
exit(0)
else:
continue
# Get the support surface ID
support_surface = find_result.objects[the_object].object.support_surface
# Set the support surface name to the table object
right_arm.set_support_surface_name(support_surface)
# Specify a pose to place the target after being picked up
place_pose = PoseStamped()
place_pose.header.frame_id = REFERENCE_FRAME
place_pose.pose.position.x = target_pose.pose.position.x
place_pose.pose.position.y = 0.03
place_pose.pose.position.z = table_size[2] + target_size[2] / 2.0 + 0.015
place_pose.pose.orientation.w = 1.0
# Initialize the grasp pose to the target pose
grasp_pose = target_pose
# Shift the grasp pose half the size of the target to center it in the gripper
try:
grasp_pose.pose.position.x += target_size[0] / 2.0
grasp_pose.pose.position.y -= 0.01
grasp_pose.pose.position.z += target_size[2] / 2.0
except:
rospy.loginfo("Invalid object size so skipping")
continue
# Generate a list of grasps
grasps = self.make_grasps(grasp_pose, [target_id])
# Publish the grasp poses so they can be viewed in RViz
for grasp in grasps:
self.gripper_pose_pub.publish(grasp.grasp_pose)
rospy.sleep(0.2)
# Track success/failure and number of attempts for pick operation
result = None
n_attempts = 0
# Set the start state to the current state
right_arm.set_start_state_to_current_state()
# Repeat until we succeed or run out of attempts
while result != MoveItErrorCodes.SUCCESS and n_attempts < max_pick_attempts:
result = right_arm.pick(target_id, grasps)
n_attempts += 1
rospy.loginfo("Pick attempt: " + str(n_attempts))
rospy.sleep(1.0)
# If the pick was successful, attempt the place operation
if result == MoveItErrorCodes.SUCCESS:
result = None
n_attempts = 0
# Generate valid place poses
places = self.make_places(place_pose)
# Set the start state to the current state
#right_arm.set_start_state_to_current_state()
# Repeat until we succeed or run out of attempts
while result != MoveItErrorCodes.SUCCESS and n_attempts < max_place_attempts:
for place in places:
result = right_arm.place(target_id, place)
if result == MoveItErrorCodes.SUCCESS:
break
n_attempts += 1
rospy.loginfo("Place attempt: " + str(n_attempts))
rospy.sleep(0.2)
if result != MoveItErrorCodes.SUCCESS:
rospy.loginfo("Place operation failed after " + str(n_attempts) + " attempts.")
else:
rospy.loginfo("Pick operation failed after " + str(n_attempts) + " attempts.")
rospy.sleep(2)
# Open the gripper to the neutral position
right_gripper.set_joint_value_target(GRIPPER_NEUTRAL)
right_gripper.go()
rospy.sleep(2)
# Return the arm to the "resting" pose stored in the SRDF file
right_arm.set_named_target('resting')
right_arm.go()
rospy.sleep(2)
# Give the servos a rest
arbotix_relax_all_servos()
rospy.sleep(2)
if args.once:
# Shut down MoveIt cleanly
moveit_commander.roscpp_shutdown()
# Exit the script
moveit_commander.os._exit(0)
def __init__(self):
# 初始化move_group的API
moveit_commander.roscpp_initialize(sys.argv)
# 初始化ROS节点
rospy.init_node('moveit_pick_and_place_demo')
# 初始化场景对象
scene = PlanningSceneInterface()
# 创建一个发布场景变化信息的发布者
self.scene_pub = rospy.Publisher('planning_scene',
PlanningScene,
queue_size=10)
# 创建一个发布抓取姿态的发布者
self.gripper_pose_pub = rospy.Publisher('gripper_pose',
PoseStamped,
queue_size=10)
# 创建一个存储物体颜色的字典对象
self.colors = dict()
# 初始化需要使用move group控制的机械臂中的arm group
arm = MoveGroupCommander(GROUP_NAME_ARM)
# 初始化需要使用move group控制的机械臂中的gripper group
gripper = MoveGroupCommander(GROUP_NAME_GRIPPER)
# 获取终端link的名称
end_effector_link = arm.get_end_effector_link()
# 设置位置(单位：米)和姿态（单位：弧度）的允许误差
arm.set_goal_position_tolerance(0.05)
arm.set_goal_orientation_tolerance(0.1)
# 当运动规划失败后，允许重新规划
arm.allow_replanning(True)
# 设置目标位置所使用的参考坐标系
arm.set_pose_reference_frame(REFERENCE_FRAME)
# 设置每次运动规划的时间限制：5s
arm.set_planning_time(5)
# 设置pick和place阶段的最大尝试次数
max_pick_attempts = 5
max_place_attempts = 5
rospy.sleep(2)
# 设置场景物体的名称
table_id = 'table'
box1_id = 'box1'
box2_id = 'box2'
target_id = 'target'
# 移除场景中之前运行残留的物体
scene.remove_world_object(table_id)
scene.remove_world_object(box1_id)
scene.remove_world_object(box2_id)
scene.remove_world_object(target_id)
# 移除场景中之前与机器臂绑定的物体
scene.remove_attached_object(GRIPPER_FRAME, target_id)
rospy.sleep(1)
# 控制机械臂先回到初始化位置
arm.set_named_target('home')
arm.go()
# 控制夹爪张开
gripper.set_joint_value_target(GRIPPER_OPEN)
gripper.go()
rospy.sleep(1)
# 设置桌面的高度
table_ground = 0.2
# 设置table、box1和box2的三维尺寸[长, 宽, 高]
table_size = [0.2, 0.7, 0.01]
box1_size = [0.1, 0.05, 0.05]
box2_size = [0.05, 0.05, 0.15]
# 将三个物体加入场景当中
table_pose = PoseStamped()
table_pose.header.frame_id = REFERENCE_FRAME
table_pose.pose.position.x = 0.35
table_pose.pose.position.y = 0.0
table_pose.pose.position.z = table_ground + table_size[2] / 2.0
table_pose.pose.orientation.w = 1.0
scene.add_box(table_id, table_pose, table_size)
box1_pose = PoseStamped()
box1_pose.header.frame_id = REFERENCE_FRAME
box1_pose.pose.position.x = 0.31
box1_pose.pose.position.y = -0.1
box1_pose.pose.position.z = table_ground + table_size[
2] + box1_size[2] / 2.0
box1_pose.pose.orientation.w = 1.0
scene.add_box(box1_id, box1_pose, box1_size)
box2_pose = PoseStamped()
box2_pose.header.frame_id = REFERENCE_FRAME
box2_pose.pose.position.x = 0.29
box2_pose.pose.position.y = -0.4
box2_pose.pose.position.z = table_ground + table_size[
2] + box2_size[2] / 2.0
box2_pose.pose.orientation.w = 1.0
scene.add_box(box2_id, box2_pose, box2_size)
# 将桌子设置成红色，两个box设置成橙色
self.setColor(table_id, 0.8, 0, 0, 1.0)
self.setColor(box1_id, 0.8, 0.4, 0, 1.0)
self.setColor(box2_id, 0.8, 0.4, 0, 1.0)
# 设置目标物体的尺寸
target_size = [0.04, 0.04, 0.05]
# 设置目标物体的位置，位于桌面之上两个盒子之间
target_pose = PoseStamped()
target_pose.header.frame_id = REFERENCE_FRAME
target_pose.pose.position.x = 0.32
target_pose.pose.position.y = 0.0
target_pose.pose.position.z = table_ground + table_size[
2] + target_size[2] / 2.0
target_pose.pose.orientation.w = 1.0
# 将抓取的目标物体加入场景中
scene.add_box(target_id, target_pose, target_size)
# 将目标物体设置为黄色
self.setColor(target_id, 0.9, 0.9, 0, 1.0)
# 将场景中的颜色设置发布
self.sendColors()
# 设置支持的外观
arm.set_support_surface_name(table_id)
# 设置一个place阶段需要放置物体的目标位置
place_pose = PoseStamped()
place_pose.header.frame_id = REFERENCE_FRAME
place_pose.pose.position.x = 0.32
place_pose.pose.position.y = -0.2
place_pose.pose.position.z = table_ground + table_size[
2] + target_size[2] / 2.0
place_pose.pose.orientation.w = 1.0
# 将目标位置设置为机器人的抓取目标位置
grasp_pose = target_pose
# 生成抓取姿态
grasps = self.make_grasps(grasp_pose, [target_id])
# 将抓取姿态发布，可以在rviz中显示
for grasp in grasps:
self.gripper_pose_pub.publish(grasp.grasp_pose)
rospy.sleep(0.2)
# 追踪抓取成功与否，以及抓取的尝试次数
result = None
n_attempts = 0
# 重复尝试抓取，直道成功或者超多最大尝试次数
while result != MoveItErrorCodes.SUCCESS and n_attempts < max_pick_attempts:
n_attempts += 1
rospy.loginfo("Pick attempt: " + str(n_attempts))
result = arm.pick(target_id, grasps)
rospy.sleep(0.2)
# 如果pick成功，则进入place阶段
if result == MoveItErrorCodes.SUCCESS:
result = None
n_attempts = 0
# 生成放置姿态
places = self.make_places(place_pose)
# 重复尝试放置，直道成功或者超多最大尝试次数
while result != MoveItErrorCodes.SUCCESS and n_attempts < max_place_attempts:
n_attempts += 1
rospy.loginfo("Place attempt: " + str(n_attempts))
for place in places:
result = arm.place(target_id, place)
if result == MoveItErrorCodes.SUCCESS:
break
rospy.sleep(0.2)
if result != MoveItErrorCodes.SUCCESS:
rospy.loginfo("Place operation failed after " +
str(n_attempts) + " attempts.")
else:
rospy.loginfo("Pick operation failed after " + str(n_attempts) +
" attempts.")
# 控制机械臂回到初始化位置
arm.set_named_target('home')
arm.go()
# 控制夹爪回到张开的状态
gripper.set_joint_value_target(GRIPPER_OPEN)
gripper.go()
rospy.sleep(1)
# 关闭并退出moveit
moveit_commander.roscpp_shutdown()
moveit_commander.os._exit(0)
def __init__(self):
# 初始化move_group的API
moveit_commander.roscpp_initialize(sys.argv)
# 初始化ROS节点
rospy.init_node('moveit_obstacles_demo')
# 初始化场景对象
scene = PlanningSceneInterface()
# 创建一个发布场景变化信息的发布者
self.scene_pub = rospy.Publisher('planning_scene', PlanningScene, queue_size=5)
# 创建一个存储物体颜色的字典对象
self.colors = dict()
# 等待场景准备就绪
rospy.sleep(1)
# 初始化需要使用move group控制的机械臂中的arm group
arm = MoveGroupCommander('ur_arm')
# 获取终端link的名称
end_effector_link = arm.get_end_effector_link()
# 设置位置(单位：米)和姿态（单位：弧度）的允许误差
arm.set_goal_position_tolerance(0.01)
arm.set_goal_orientation_tolerance(0.05)
# 当运动规划失败后，允许重新规划
arm.allow_replanning(True)
# 设置目标位置所使用的参考坐标系
reference_frame = 'base_link'
arm.set_pose_reference_frame(reference_frame)
# 设置每次运动规划的时间限制：5s
arm.set_planning_time(5)
# 设置场景物体的名称
table_id = 'table'
box1_id = 'box1'
box2_id = 'box2'
# 移除场景中之前运行残留的物体
scene.remove_world_object(table_id)
scene.remove_world_object(box1_id)
scene.remove_world_object(box2_id)
rospy.sleep(1)
# 控制机械臂先回到初始化位置
arm.set_named_target('home')
arm.go()
rospy.sleep(2)
# 设置桌面的高度
table_ground = 0.25
# 设置table、box1和box2的三维尺寸
table_size = [0.2, 0.7, 0.01]
box1_size = [0.1, 0.05, 0.05]
box2_size = [0.05, 0.05, 0.15]
# 将三个物体加入场景当中
table_pose = PoseStamped()
table_pose.header.frame_id = reference_frame
table_pose.pose.position.x = 0.26
table_pose.pose.position.y = 0.0
table_pose.pose.position.z = table_ground + table_size[2] / 2.0
table_pose.pose.orientation.w = 1.0
scene.add_box(table_id, table_pose, table_size)
box1_pose = PoseStamped()
box1_pose.header.frame_id = reference_frame
box1_pose.pose.position.x = 0.21
box1_pose.pose.position.y = -0.1
box1_pose.pose.position.z = table_ground + table_size[2] + box1_size[2] / 2.0
box1_pose.pose.orientation.w = 1.0
scene.add_box(box1_id, box1_pose, box1_size)
box2_pose = PoseStamped()
box2_pose.header.frame_id = reference_frame
box2_pose.pose.position.x = 0.19
box2_pose.pose.position.y = 0.15
box2_pose.pose.position.z = table_ground + table_size[2] + box2_size[2] / 2.0
box2_pose.pose.orientation.w = 1.0
scene.add_box(box2_id, box2_pose, box2_size)
# 将桌子设置成红色，两个box设置成橙色
self.setColor(table_id, 0.8, 0, 0, 1.0)
self.setColor(box1_id, 0.8, 0.4, 0, 1.0)
self.setColor(box2_id, 0.8, 0.4, 0, 1.0)
# 将场景中的颜色设置发布
self.sendColors()
# 设置机械臂的运动目标位置，位于桌面之上两个盒子之间
target_pose = PoseStamped()
target_pose.header.frame_id = reference_frame
target_pose.pose.position.x = 0.2
target_pose.pose.position.y = 0.0
target_pose.pose.position.z = table_pose.pose.position.z + table_size[2] + 0.05
target_pose.pose.orientation.w = 1.0
# 控制机械臂运动到目标位置
arm.set_pose_target(target_pose, end_effector_link)
arm.go()
rospy.sleep(2)
# 设置机械臂的运动目标位置，进行避障规划
target_pose2 = PoseStamped()
target_pose2.header.frame_id = reference_frame
target_pose2.pose.position.x = 0.2
target_pose2.pose.position.y = -0.25
target_pose2.pose.position.z = table_pose.pose.position.z + table_size[2] + 0.05
target_pose2.pose.orientation.w = 1.0
# 控制机械臂运动到目标位置
arm.set_pose_target(target_pose2, end_effector_link)
arm.go()
rospy.sleep(2)
# 控制机械臂回到初始化位置
arm.set_named_target('home')
arm.go()
# 关闭并退出moveit
moveit_commander.roscpp_shutdown()
moveit_commander.os._exit(0)
class ArmTracker:
def __init__(self):
rospy.init_node('arm_tracker')
rospy.on_shutdown(self.shutdown)
# Maximum distance of the target before the arm will lower
self.max_target_dist = 1.2
# Arm length to center of gripper frame
self.arm_length = 0.4
# Distance between the last target and the new target before we move the arm
self.last_target_threshold = 0.01
# Distance between target and end-effector before we move the arm
self.target_ee_threshold = 0.025
# Initialize the move group for the left arm
self.left_arm = MoveGroupCommander(GROUP_NAME_ARM)
# Initialize the move group for the left gripper
left_gripper = MoveGroupCommander(GROUP_NAME_GRIPPER)
# Set the reference frame for pose targets
self.reference_frame = REFERENCE_FRAME
# Keep track of the last target pose
self.last_target_pose = PoseStamped()
# Set the left arm reference frame accordingly
self.left_arm.set_pose_reference_frame(self.reference_frame)
# Allow replanning to increase the chances of a solution
self.left_arm.allow_replanning(False)
# Set a position tolerance in meters
self.left_arm.set_goal_position_tolerance(0.05)
# Set an orientation tolerance in radians
self.left_arm.set_goal_orientation_tolerance(0.2)
# What is the end effector link?
self.ee_link = self.left_arm.get_end_effector_link()
# Create the transform listener
self.listener = tf.TransformListener()
# Queue up some tf data...
rospy.sleep(3)
# Set the gripper target to closed position using a joint value target
left_gripper.set_joint_value_target(GRIPPER_CLOSED)
# Plan and execute the gripper motion
left_gripper.go()
rospy.sleep(1)
# Subscribe to the target topic
rospy.wait_for_message('/target_pose', PoseStamped)
# Use queue_size=1 so we don't pile up outdated target messages
self.target_subscriber = rospy.Subscriber('/target_pose',
PoseStamped,
self.update_target_pose,
queue_size=1)
rospy.loginfo("Ready for action!")
while not rospy.is_shutdown():
try:
target = self.target
except:
rospy.sleep(0.5)
continue
# Timestamp the target with the current time
target.header.stamp = rospy.Time()
# Get the target pose in the left_arm shoulder lift frame
#target_arm = self.listener.transformPose('left_arm_shoulder_pan_link', target)
target_arm = self.listener.transformPose('left_rotate', target)
# Convert the position values to a Python list
p0 = [
target_arm.pose.position.x, target_arm.pose.position.y,
target_arm.pose.position.z
]
# Compute the distance between the target and the shoulder link
dist_target_shoulder = euclidean(p0, [0, 0, 0])
# If the target is too far away, then lower the arm
if dist_target_shoulder > self.max_target_dist:
rospy.loginfo("Target is too far away")
self.left_arm.set_named_target('l_start')
self.left_arm.go()
rospy.sleep(1)
continue
# Transform the pose to the base reference frame
target_base = self.listener.transformPose(self.reference_frame,
target)
# Compute the distance between the current target and the last target
p1 = [
target_base.pose.position.x, target_base.pose.position.y,
target_base.pose.position.z
]
p2 = [
self.last_target_pose.pose.position.x,
self.last_target_pose.pose.position.y,
self.last_target_pose.pose.position.z
]
dist_last_target = euclidean(p1, p2)
# Move the arm only if we are far enough away from the previous target
if dist_last_target < self.last_target_threshold:
rospy.loginfo("Still close to last target")
rospy.sleep(0.5)
continue
# Get the pose of the end effector in the base reference frame
ee_pose = self.left_arm.get_current_pose(self.ee_link)
# Convert the position values to a Python list
p3 = [
ee_pose.pose.position.x, ee_pose.pose.position.y,
ee_pose.pose.position.z
]
# Compute the distance between the target and the end-effector
dist_target = euclidean(p1, p3)
# Only move the arm if we are far enough away from the target
if dist_target < self.target_ee_threshold:
rospy.loginfo("Already close enough to target")
rospy.sleep(1)
continue
# We want the gripper somewhere on the line connecting the shoulder and the target.
# Using a parametric form of the line, the parameter ranges from 0 to the
# minimum of the arm length and the distance to the target.
t_max = min(self.arm_length, dist_target_shoulder)
# Bring it back 10% so we don't collide with the target
t = 0.9 * t_max
# Now compute the target positions from the parameter
try:
target_arm.pose.position.x *= (t / dist_target_shoulder)
target_arm.pose.position.y *= (t / dist_target_shoulder)
target_arm.pose.position.z *= (t / dist_target_shoulder)
except:
rospy.sleep(1)
rospy.loginfo("Exception!")
continue
# Transform to the base_footprint frame
target_ee = self.listener.transformPose(self.reference_frame,
target_arm)
# Set the target gripper orientation to be horizontal
target_ee.pose.orientation.x = 0
target_ee.pose.orientation.y = 0
target_ee.pose.orientation.z = 0
target_ee.pose.orientation.w = 1
# Update the current start state
self.left_arm.set_start_state_to_current_state()
# Set the target pose for the end-effector
self.left_arm.set_pose_target(target_ee, self.ee_link)
# Plan and execute the trajectory
success = self.left_arm.go()
if success:
# Store the current target as the last target
self.last_target_pose = target
# Pause a bit between motions to keep from locking up
rospy.sleep(0.5)
def update_target_pose(self, target):
self.target = target
def relax_all_servos(self):
command = 'rosrun rbx2_dynamixels arbotix_relax_all_servos.py'
args = shlex.split(command)
subprocess.Popen(args)
def shutdown(self):
# Stop any further target messages from being processed
self.target_subscriber.unregister()
# Stop any current arm movement
self.left_arm.stop()
# Move to the r_start position
self.left_arm.set_named_target('r_start')
self.left_arm.go()
# Relax the servos
self.relax_all_servos()
os._exit(0)
from std_msgs.msg import Header
moveit_error_dict = {}
for name in MoveItErrorCodes.__dict__.keys():
if not name[:1] == '_':
code = MoveItErrorCodes.__dict__[name]
moveit_error_dict[code] = name
if __name__=='__main__':
rospy.init_node("pose_goal_test11")
rospy.loginfo("Starting up move group commander for right arm")
right_arm_mgc = MoveGroupCommander("right_arm_torso")
goal_point = Point(0.4, -0.2, 1.1)
goal_ori = Quaternion(0.0,0.0,0.0,1.0)
right_arm_mgc.set_pose_reference_frame('base_link')
list_goals = []
for i in range(1):
goal_point.z += 0.05
rospy.loginfo(str(i) + ": Setting new goal:\n " + str(goal_point))
list_goals.append(Pose(goal_point, goal_ori))
rospy.loginfo("list of goals:\n" + str(list_goals))
right_arm_mgc.set_pose_targets(list_goals)
rospy.loginfo("go()")
right_arm_mgc.go()
