def insert6DofGlobalMarker(self, T_W_M):
int_position_marker = InteractiveMarker()
int_position_marker.header.frame_id = 'world'
int_position_marker.name = 'obj_pose_marker'
int_position_marker.scale = 0.1
int_position_marker.pose = pm.toMsg(T_W_M)
int_position_marker.controls.append(self.createInteractiveMarkerControl6DOF(InteractiveMarkerControl.ROTATE_AXIS,'x'));
int_position_marker.controls.append(self.createInteractiveMarkerControl6DOF(InteractiveMarkerControl.ROTATE_AXIS,'y'));
int_position_marker.controls.append(self.createInteractiveMarkerControl6DOF(InteractiveMarkerControl.ROTATE_AXIS,'z'));
int_position_marker.controls.append(self.createInteractiveMarkerControl6DOF(InteractiveMarkerControl.MOVE_AXIS,'x'));
int_position_marker.controls.append(self.createInteractiveMarkerControl6DOF(InteractiveMarkerControl.MOVE_AXIS,'y'));
int_position_marker.controls.append(self.createInteractiveMarkerControl6DOF(InteractiveMarkerControl.MOVE_AXIS,'z'));
self.mk_server.insert(int_position_marker, self.processFeedback)
int_button_marker = InteractiveMarker()
int_button_marker.header.frame_id = 'world'
int_button_marker.name = 'obj_button_marker'
int_button_marker.scale = 0.2
int_button_marker.pose = pm.toMsg(PyKDL.Frame())
box = self.createButtonMarkerControl(Point(0.05,0.05,0.05), Point(0.0, 0.0, 0.15) )
box.interaction_mode = InteractiveMarkerControl.BUTTON
box.name = 'button'
int_button_marker.controls.append( box )
self.mk_server.insert(int_button_marker, self.processFeedback)
self.mk_server.applyChanges()
def step(self):
if self.T_ is None:
self.init_tf()
return
if self.recv_:
self.recv_ = False
pose = self.odom_.pose.pose
T0 = pm.toMatrix(pm.fromMsg(pose)) # android_odom --> android
# send odom -> base_link transform
T = tf.transformations.concatenate_matrices(self.T_, T0, self.Ti_)
frame = pm.fromMatrix(T)
if self.pub_tf_:
txn, qxn = pm.toTf(frame)
self.tfb_.sendTransform(txn, qxn, self.odom_.header.stamp,
'odom', 'base_link')
# send as msg
# TODO : does not deal with twist/covariance information
msg = pm.toMsg(frame)
self.cvt_msg_.pose.pose = pm.toMsg(frame)
self.cvt_msg_.header.frame_id = 'map' # experimental
self.cvt_msg_.header.stamp = self.odom_.header.stamp
self.pub_.publish(self.cvt_msg_)
def pose_callback(self, pose):
# This code is based on:
# https://github.com/ros-planning/navigation/blob/jade-devel\
# /amcl/src/amcl_node.cpp
try:
self.tf_listener.waitForTransform(
'map', # from here
'odom', # to here
pose.header.stamp,
rospy.Duration(1.0))
frame = posemath.fromMsg(pose.pose).Inverse()
pose.pose = posemath.toMsg(frame)
pose.header.frame_id = 'base_link'
odom_pose = self.tf_listener.transformPose('odom', pose)
frame = posemath.fromMsg(odom_pose.pose).Inverse()
odom_pose.pose = posemath.toMsg(frame)
self.transform_position[0] = odom_pose.pose.position.x
self.transform_position[1] = odom_pose.pose.position.y
self.transform_quaternion[0] = odom_pose.pose.orientation.x
self.transform_quaternion[1] = odom_pose.pose.orientation.y
self.transform_quaternion[2] = odom_pose.pose.orientation.z
self.transform_quaternion[3] = odom_pose.pose.orientation.w
except tf.Exception as e:
print e
print "(May not be a big deal.)"
def compute_frames(self,req):
#read nominal poses, and set as initial positions
self.crc.set_intial_frames(posemath.fromMsg( self.w_P_c),
posemath.fromMsg(self.ee_P_m))
#do several iteration of estimation
n_comp=6
residue_max=[]
residue_mod=[]
for i in range(n_comp):
print '\ncurrent position'
print self.crc.w_T_c.p
residue= self.crc.compute_frames();
r2=residue.transpose()*residue
residue_mod.append( num.sqrt (r2[0,0]))
residue_max.append(num.max(num.abs(residue)))
print '\nresidue_mod'
print residue_mod
print '\nresidue_max'
print residue_max
#put result back in parameter
print '\nee_T_m'
print self.crc.ee_T_m
print '\nw_T_c'
print self.crc.w_T_c
self.ee_P_m = posemath.toMsg(self.crc.ee_T_m)
self.w_P_c=posemath.toMsg(self.crc.w_T_c)
return EmptyResponse();
def irp6p_multi_trajectory2():
irpos = IRPOS("IRpOS", "Irp6p", 6)
irpos.move_to_motor_position([0.4, -1.5418065817051163, 0.0, 1.57, 1.57, -2.0], 10.0)
irpos.move_to_motor_position([10.0, 10.0, 0.0, 10.57, 10.57, -20.0], 2.0)
irpos.move_to_joint_position([0.4, -1.5418065817051163, 0.0, 1.5, 1.57, -2.0], 3.0)
irpos.move_to_joint_position([0.0, -1.5418065817051163, 0.0, 1.5, 1.57, -2.0], 3.0)
rot = PyKDL.Frame(PyKDL.Rotation.EulerZYZ(0.0, 1.4, 3.14), PyKDL.Vector(0.705438961242, -0.1208864692291, 1.18029263241))
rot2 = PyKDL.Frame(PyKDL.Rotation.EulerZYZ(0.3, 1.4, 3.14), PyKDL.Vector(0.705438961242, -0.1208864692291, 1.181029263241))
irpos.move_to_cartesian_pose(3.0, Pose(Point(0.705438961242, -0.1208864692291, 1.181029263241), Quaternion(0.675351045979, 0.0892025112399, 0.698321120995, 0.219753244928)))
irpos.move_to_cartesian_pose(3.0,pm.toMsg(rot))
irpos.move_to_cartesian_pose(3.0,pm.toMsg(rot2))
toolParams = Pose(Point(0.0, 0.0, 0.0), Quaternion(0.0, 0.0, 0.0, 1.0))
irpos.set_tool_geometry_params(toolParams)
rot = PyKDL.Frame(PyKDL.Rotation.EulerZYZ(0.0, 1.4, 3.14), PyKDL.Vector(0.705438961242, -0.1208864692291, 1.181029263241))
irpos.move_to_cartesian_pose(3.0,Pose(Point(0.705438961242, -0.1208864692291, 1.181029263241), Quaternion(0.675351045979, 0.0892025112399, 0.698321120995, 0.219753244928)))
irpos.move_to_cartesian_pose(3.0,pm.toMsg(rot))
irpos.move_to_cartesian_pose(3.0,Pose(Point(0.705438961242, -0.1208864692291, 1.181029263241), Quaternion(0.63691, 0.096783, 0.75634, -0.11369)))
toolParams = Pose(Point(0.0, 0.0, 0.25), Quaternion(0.0, 0.0, 0.0, 1.0))
irpos.set_tool_geometry_params(toolParams)
print "Irp6p 'multi_trajectory2' test compleated"
def test_current_pose(self):
""" Test the current pose method
1. create and publish tf
2. get current pose with base and ref
3. move roboter to ref
4. get current pose with ref and base
5. analyse positions
"""
rospy.loginfo("test_current_pose")
self.robot.move(Ptp(goal=[0, 0, 0, 0, 0, 0]))
# get and transform test data
ref_frame = self.test_data.get_pose("Blend_1_Mid", PLANNING_GROUP_NAME)
ref_frame_tf = pm.toTf(pm.fromMsg(ref_frame))
rospy.sleep(rospy.Duration.from_sec(0.5))
# init
tcp_ref = [[0, 0, 0], [0, 0, 0, 1]]
tcp_base = [[0, 0, 0], [0, 0, 0, 1]]
time_tf = rospy.Time.now()
base_frame = self.robot._robot_commander.get_planning_frame()
try:
self.tf.sendTransform(ref_frame_tf[0], ref_frame_tf[1],
time_tf, "ref_frame", base_frame)
self.tf_listener.waitForTransform(base_frame, "ref_frame", time_tf, rospy.Duration(2, 0))
rospy.sleep(rospy.Duration.from_sec(0.1))
tcp_ref = self.tf_listener.lookupTransform("ref_frame", "prbt_tcp", time_tf)
tcp_base = self.tf_listener.lookupTransform(base_frame, "prbt_tcp", time_tf)
except Exception as e:
print e
rospy.logerr("Failed to setup transforms for test!")
tcp_ref_msg = pm.toMsg(pm.fromTf(tcp_ref))
tcp_base_msg = pm.toMsg(pm.fromTf(tcp_base))
# read current pose, move robot and do it again
start_bf = self.robot.get_current_pose()
start_rf = self.robot.get_current_pose(base="ref_frame")
self.robot.move(Ptp(goal=ref_frame))
# resending tf (otherwise transform pose could read old transform to keep time close together.
time_tf = rospy.Time.now()
self.tf.sendTransform(ref_frame_tf[0], ref_frame_tf[1], time_tf, "ref_frame", base_frame)
self.tf_listener.waitForTransform(base_frame, "ref_frame", time_tf, rospy.Duration(1, 0))
ref_frame_bf = self.robot.get_current_pose()
ref_frame_rf = self.robot.get_current_pose(base="ref_frame")
self._analyze_pose(tcp_base_msg, start_bf)
self._analyze_pose(tcp_ref_msg, start_rf)
self._analyze_pose(ref_frame, ref_frame_bf)
self._analyze_pose(Pose(orientation=Quaternion(0, 0, 0, 1)), ref_frame_rf)
def TFThread(self):
while not rospy.is_shutdown():
small_frame_list = []
big_frame_list = []
self_frame = self.robot_id + "/map"
for tf_frame, tf in self.tf_between_robots_dict.items():
if tf_frame[:len(self_frame)] == self_frame:
big_frame_list.append(tf.child_frame_id)
elif tf_frame[-len(self_frame):] == self_frame:
small_frame_list.append(tf.header.frame_id)
small_frame_list.sort()
for i in range(1, len(small_frame_list)):
tf1 = self.tf_between_robots_dict[small_frame_list[i - 1] +
' to ' + self_frame]
tf2 = self.tf_between_robots_dict[small_frame_list[i] +
' to ' + self_frame]
pose1 = posemath.fromMsg(trans2pose(tf1))
pose2 = posemath.fromMsg(trans2pose(tf2))
tf = TransformStamped()
tf.header.stamp = rospy.Time.now()
tf.header.frame_id = tf1.header.frame_id
tf.child_frame_id = tf2.header.frame_id
tf.transform = pose2trans(
posemath.toMsg(pose1 * pose2.Inverse()))
print("publish tf: " + tf.header.frame_id + " to " +
tf.child_frame_id)
self.br.sendTransformMessage(tf)
if len(small_frame_list) > 0:
print("publish tf: " + small_frame_list[-1] + ' to ' +
self_frame)
self.br.sendTransformMessage(
self.tf_between_robots_dict[small_frame_list[-1] + ' to ' +
self_frame])
big_frame_list.sort()
if len(big_frame_list) > 0:
print("publish tf: " + self_frame + ' to ' + big_frame_list[0])
self.br.sendTransformMessage(
self.tf_between_robots_dict[self_frame + ' to ' +
big_frame_list[0]])
for i in range(1, len(big_frame_list)):
tf1 = self.tf_between_robots_dict[self_frame + ' to ' +
big_frame_list[i - 1]]
tf2 = self.tf_between_robots_dict[self_frame + ' to ' +
big_frame_list[i]]
pose1 = posemath.fromMsg(trans2pose(tf1))
pose2 = posemath.fromMsg(trans2pose(tf2))
tf = TransformStamped()
tf.header.stamp = rospy.Time.now()
tf.header.frame_id = tf1.child_frame_id
tf.child_frame_id = tf2.child_frame_id
tf.transform = pose2trans(
posemath.toMsg(pose1.Inverse() * pose2))
print("publish tf: " + tf.header.frame_id + " to " +
tf.child_frame_id)
self.br.sendTransformMessage(tf)
time.sleep(1)
def _getCollisionObject(name, urdf, pose, operation):
'''
This function takes an urdf and a TF pose and updates the collision
geometry associated with the current planning scene.
'''
co = CollisionObject()
co.id = name
co.operation = operation
if len(urdf.links) > 1:
rospy.logwarn(
'collison object parser does not currently support kinematic chains'
)
for l in urdf.links:
# Compute the link pose based on the origin
if l.origin is None:
link_pose = pose
else:
link_pose = pose * kdl.Frame(kdl.Rotation.RPY(*l.origin.rpy),
kdl.Vector(*l.origin.xyz))
for c in l.collisions:
# Only update the geometry if we actually need to add the
# object to the collision scene.
# check type of each collision tag.
if isinstance(c.geometry, urdf_parser_py.urdf.Box):
primitive = True
if co.operation == CollisionObject.ADD:
size = c.geometry.size
element = SolidPrimitive()
element.type = SolidPrimitive.BOX
element.dimensions = list(c.geometry.size)
co.primitives.append(element)
elif isinstance(c.geometry, urdf_parser_py.urdf.Mesh):
primitive = False
if co.operation == CollisionObject.ADD:
scale = (1, 1, 1)
if c.geometry.scale is not None:
scale = c.scale
element = _loadMesh(c.geometry, scale)
co.meshes.append(element)
else:
raise NotImplementedError(
"we do not currently support geometry of type %s" %
(str(type(c.geometry))))
pose = kdl.Frame(kdl.Rotation.RPY(*c.origin.rpy),
kdl.Vector(*c.origin.xyz))
pose = link_pose * pose
if primitive:
co.primitive_poses.append(pm.toMsg(pose))
else:
# was a mesh
co.mesh_poses.append(pm.toMsg(pose))
return co
def set_pose_frame(self, frame1, frame2):
"""
:param frame: PyKDL.Frame
"""
msg1 = posemath.toMsg(frame1)
msg2 = posemath.toMsg(frame2)
self.__set_position_goal_cartesian_publish_and_wait(msg1)
self.__set_position_goal_cartesian_publish_and_wait(msg2)
return True
def oplus(cur_estimate, step):
result = deepcopy(cur_estimate)
# loop over camera's
for camera, res, camera_index in zip(cur_estimate.cameras, result.cameras, [r*pose_width for r in range(len(cur_estimate.cameras))]):
res.pose = posemath.toMsg(pose_oplus(posemath.fromMsg(camera.pose), step[camera_index:camera_index+pose_width]))
# loop over targets
for i, target in enumerate(cur_estimate.targets):
target_index = (len(cur_estimate.cameras) + i) * pose_width
result.targets[i] = posemath.toMsg(pose_oplus(posemath.fromMsg(target), step[target_index:target_index+pose_width]))
return result
def compute_net_transform(self, base_pose):
base_to_odom = self.tfl.lookupTransform("/base_footprint", "/odom_combined", rospy.Time())
bto = pm.fromTf(base_to_odom)
net_t = base_pose * bto
print "Setting "
print pm.toMsg(net_t)
self.broad.transform = pm.toTf(net_t)
def _dataToPose(self,data):
'''
Get visualization information as a vector of poses for whatever object we
are currently manipulating.
'''
msg = PoseArray()
for traj in data:
for world in traj:
if world['orange'] is not None:
msg.poses.append(pm.toMsg(world['orange']))
msg.poses.append(pm.toMsg(world['box']))
msg.poses.append(pm.toMsg(world['trash']))
msg.poses.append(pm.toMsg(world['squeeze_area']))
return msg
def omni_callback(joint_state):
global update_pub, last_button_state
sendTf(marker_tf, '/marker', fixed_frame)
sendTf(zero_tf, '/base', fixed_frame)
sendTf(marker_ref, '/marker_ref', fixed_frame)
sendTf(stylus_ref, '/stylus_ref', fixed_frame)
try:
update = InteractionCursorUpdate()
update.pose.header = std_msgs.msg.Header()
update.pose.header.stamp = rospy.Time.now()
update.pose.header.frame_id = 'marker_ref'
if button_clicked and last_button_state == update.GRAB:
update.button_state = update.KEEP_ALIVE
elif button_clicked and last_button_state == update.KEEP_ALIVE:
update.button_state = update.KEEP_ALIVE
elif button_clicked:
update.button_state = update.GRAB
elif last_button_state == update.KEEP_ALIVE:
update.button_state = update.RELEASE
else:
update.button_state = update.NONE
updateRefs()
update.key_event = 0
control_tf = ((0, 0, 0), tf.transformations.quaternion_from_euler(0, 0, control_offset))
if button_clicked:
# Get pose corresponding to transform between stylus reference and current position.
stylus_tf = listener.lookupTransform('/stylus_ref', '/stylus', rospy.Time(0))
stylus_matrix = pm.toMatrix(pm.fromTf(stylus_tf))
control_matrix = pm.toMatrix(pm.fromTf(control_tf))
p = pm.toMsg(pm.fromMatrix(numpy.dot(control_matrix, stylus_matrix)))
else:
p = pm.toMsg(pm.fromTf(control_tf))
# Simply scale this up a bit to increase the workspace.
workspace = 4
p.position.x = p.position.x * workspace
p.position.y = p.position.y * workspace
p.position.z = p.position.z * workspace
update.pose.pose = p
last_button_state = update.button_state
# Publish feedback.
update_pub.publish(update)
except (tf.LookupException, tf.ConnectivityException, tf.ExtrapolationException):
rospy.logerr("Couldn't look up transform. These things happen...")
def moveEffector(self, prefix, T_B_Td, t, max_wrench, start_time=0.01, stamp=None, path_tol=None):
behaviour = self.getControllerBehaviour()
if behaviour != self.BEHAVOIUR_CART_IMP and behaviour != self.BEHAVOIUR_CART_IMP_FT:
print "moveEffector " + prefix + ": wrong behaviour " + self.getBehaviourName(behaviour)
return False
self.joint_traj_active = False
wrist_pose = pm.toMsg(T_B_Td)
# self.br.sendTransform([wrist_pose.position.x, wrist_pose.position.y, wrist_pose.position.z], [wrist_pose.orientation.x, wrist_pose.orientation.y, wrist_pose.orientation.z, wrist_pose.orientation.w], rospy.Time.now(), "dest", "torso_base")
action_trajectory_goal = CartesianTrajectoryGoal()
if stamp != None:
action_trajectory_goal.trajectory.header.stamp = stamp
else:
action_trajectory_goal.trajectory.header.stamp = rospy.Time.now() + rospy.Duration(start_time)
action_trajectory_goal.trajectory.points.append(CartesianTrajectoryPoint(
rospy.Duration(t),
wrist_pose,
Twist()))
action_trajectory_goal.wrench_constraint = self.wrenchKDLtoROS(max_wrench)
if path_tol != None:
action_trajectory_goal.path_tolerance.position = geometry_msgs.msg.Vector3( path_tol.vel.x(), path_tol.vel.y(), path_tol.vel.z() )
action_trajectory_goal.path_tolerance.rotation = geometry_msgs.msg.Vector3( path_tol.rot.x(), path_tol.rot.y(), path_tol.rot.z() )
self.current_max_wrench = self.wrenchKDLtoROS(max_wrench)
self.action_cart_traj_client[prefix].send_goal(action_trajectory_goal, feedback_cb = self.action_right_cart_traj_feedback_cb)
return True
def getPlanWaypoints(self,waypoints_in_kdl_frame,q,obj=None):
cartesian_path_req = GetCartesianPathRequest()
cartesian_path_req.header.frame_id = self.base_link
cartesian_path_req.start_state = RobotState()
cartesian_path_req.start_state.joint_state.name = self.joint_names
if type(q) is list:
cartesian_path_req.start_state.joint_state.position = q
else:
cartesian_path_req.start_state.joint_state.position = q.tolist()
cartesian_path_req.group_name = self.group
cartesian_path_req.link_name = self.joint_names[-1]
cartesian_path_req.avoid_collisions = False
cartesian_path_req.max_step = 50
cartesian_path_req.jump_threshold = 0
# cartesian_path_req.path_constraints = Constraints()
if obj is not None:
self.updateAllowedCollisions(obj,True)
cartesian_path_req.waypoints = list()
for T in waypoints_in_kdl_frame:
cartesian_path_req.waypoints.append(pm.toMsg(T))
res = self.cartesian_path_plan.call(cartesian_path_req)
if obj is not None:
self.updateAllowedCollisions(obj,False)
return (res.error_code.val, res)
def execute(self, wait=True, plan_only=False):
""" Plan and execute cartesian path thru specified waypoints """
waypoints = [pm.toMsg(f) for f in self._frames]
(plan, frac) = self._arm.compute_cartesian_path(
waypoints, eef_step=0.005, jump_threshold=5.0)
if frac < 1.0:
return False
if plan_only:
return True
t = rospy.Duration()
points = []
for p in plan.joint_trajectory.points:
if p.time_from_start != t:
points.append(p)
t = p.time_from_start
plan.joint_trajectory.points = points
if not self._arm.execute(plan, wait):
current = self._arm.get_current_joint_values()
desired = plan.joint_trajectory.points[-1].positions
if not np.allclose(current, desired, atol=0.02):
return False
return True
def callback(m):
global pub
global stop
global data
global tfListener
global numberOfFootstepsInList
if ready:
if not stop:
print('Preparing the footstep message')
# Wait for transform
tfListener.waitForTransform("/pelvis", "/leftCOP_Frame",
rospy.Time(), rospy.Duration(4.0))
tfListener.waitForTransform("/pelvis", "/rightCOP_Frame",
rospy.Time(), rospy.Duration(4.0))
# Get current robot pose
pos1, rot1 = tfListener.lookupTransform("/pelvis",
"/leftCOP_Frame",
rospy.Time())
pos2, rot2 = tfListener.lookupTransform("/pelvis",
"/rightCOP_Frame",
rospy.Time())
pos = (np.array(pos1) + np.array(pos2)) * 0.5
rot = pm.transformations.quaternion_slerp(rot1, rot2, 0.5)
midFeet = pm.Frame(
pm.Rotation.Quaternion(rot[0], rot[1], rot[2], rot[3]),
pm.Vector(pos[0], pos[1], pos[2]))
pose = pm.fromMsg(m.pose.pose) * midFeet
# Get footstep trajectopry from YAML
message = message_converter.convert_dictionary_to_ros_message(
'controller_msgs/FootstepDataListMessage', data)
# Update the footstep frames
numberOfFootstepsInList = len(message.footstep_data_list)
for step in message.footstep_data_list:
pstep = pose * pm.Frame(
pm.Rotation.Quaternion(
step.orientation.x, step.orientation.y,
step.orientation.z, step.orientation.w),
pm.Vector(step.location.x, step.location.y,
step.location.z))
msg = pm.toMsg(pstep)
step.location = msg.position
# Normalize orientation
quat_original = np.array([
msg.orientation.x, msg.orientation.y, msg.orientation.z,
msg.orientation.w
])
quat_normalized = quat_original / np.linalg.norm(quat_original)
msg.orientation.x, msg.orientation.y, msg.orientation.z, msg.orientation.w = quat_normalized[
0], quat_normalized[1], quat_normalized[
2], quat_normalized[3]
# Update step orientation
step.orientation = msg.orientation
print('Relocated footsteps to a local frame')
print('Publishing...')
pub.publish(message)
stop = True
print('Waiting for execution...')
def irp6p_multi_trajectory():
irpos = IRPOS("IRpOS", "Irp6p", 6)
motor_trajectory = [JointTrajectoryPoint([0.4, -1.5418065817051163, 0.0, 1.57, 1.57, -2.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [], [], rospy.Duration(10.0)), JointTrajectoryPoint([10.0, 10.0, 0.0, 10.57, 10.57, -20.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [], [], rospy.Duration(12.0))]
irpos.move_along_motor_trajectory(motor_trajectory)
joint_trajectory = [JointTrajectoryPoint([0.4, -1.5418065817051163, 0.0, 1.5, 1.57, -2.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [], [], rospy.Duration(3.0)),JointTrajectoryPoint([0.0, -1.5418065817051163, 0.0, 1.5, 1.57, -2.0], [0.0, 0.0, 0.0, 0.0, 0.0, 0.0], [], [], rospy.Duration(6.0))]
irpos.move_along_joint_trajectory(joint_trajectory)
rot = PyKDL.Frame(PyKDL.Rotation.EulerZYZ(0.0, 1.4, 3.14), PyKDL.Vector(0.705438961242, -0.1208864692291, 1.18029263241))
rot2 = PyKDL.Frame(PyKDL.Rotation.EulerZYZ(0.3, 1.4, 3.14), PyKDL.Vector(0.705438961242, -0.1208864692291, 1.181029263241))
cartesianTrajectory = [CartesianTrajectoryPoint(rospy.Duration(3.0), Pose(Point(0.705438961242, -0.1208864692291, 1.181029263241), Quaternion(0.675351045979, 0.0892025112399, 0.698321120995, 0.219753244928)), Twist()), CartesianTrajectoryPoint(rospy.Duration(6.0), pm.toMsg(rot), Twist()),CartesianTrajectoryPoint(rospy.Duration(9.0), pm.toMsg(rot2), Twist())]
irpos.move_along_cartesian_trajectory(cartesianTrajectory)
toolParams = Pose(Point(0.0, 0.0, 0.0), Quaternion(0.0, 0.0, 0.0, 1.0))
irpos.set_tool_geometry_params(toolParams)
rot = PyKDL.Frame(PyKDL.Rotation.EulerZYZ(0.0, 1.4, 3.14), PyKDL.Vector(0.705438961242, -0.1208864692291, 1.181029263241))
cartesianTrajectory = [CartesianTrajectoryPoint(rospy.Duration(3.0), Pose(Point(0.705438961242, -0.1208864692291, 1.181029263241), Quaternion(0.675351045979, 0.0892025112399, 0.698321120995, 0.219753244928)), Twist()),
CartesianTrajectoryPoint(rospy.Duration(6.0), pm.toMsg(rot), Twist()),CartesianTrajectoryPoint(rospy.Duration(9.0), Pose(Point(0.705438961242, -0.1208864692291, 1.181029263241), Quaternion(0.63691, 0.096783, 0.75634, -0.11369)), Twist())]
irpos.move_along_cartesian_trajectory(cartesianTrajectory)
toolParams = Pose(Point(0.0, 0.0, 0.25), Quaternion(0.0, 0.0, 0.0, 1.0))
irpos.set_tool_geometry_params(toolParams)
print "Irp6p 'multi_trajectory' test compleated"
def gotimage(self, imgmsg):
if imgmsg.encoding == "bayer_bggr8":
imgmsg.encoding = "8UC1"
img = CvBridge().imgmsg_to_cv(imgmsg)
# cv.ShowImage("DataMatrix", img)
# cv.WaitKey(6)
self.track(img)
# monocular case
print self.cams
if 'l' in self.cams:
for (code, corners) in self.tracking.items():
model = cv.fromarray(numpy.array([[0,0,0], [.1, 0, 0], [.1, .1, 0], [0, .1, 0]], numpy.float32))
rot = cv.CreateMat(3, 1, cv.CV_32FC1)
trans = cv.CreateMat(3, 1, cv.CV_32FC1)
cv.FindExtrinsicCameraParams2(model,
cv.fromarray(numpy.array(corners, numpy.float32)),
self.cams['l'].intrinsicMatrix(),
self.cams['l'].distortionCoeffs(),
rot,
trans)
ts = geometry_msgs.msg.TransformStamped()
ts.header.frame_id = imgmsg.header.frame_id
ts.header.stamp = imgmsg.header.stamp
ts.child_frame_id = code
posemsg = pm.toMsg(pm.fromCameraParams(cv, rot, trans))
ts.transform.translation = posemsg.position
ts.transform.rotation = posemsg.orientation
tfm = tf.msg.tfMessage([ts])
self.pub_tf.publish(tfm)
def Transarray2G2O(g2ofname, trans_array):
index = 1
prev_pose = Pose()
prev_pose.orientation.w = 1
rel_pose = Pose()
with open(g2ofname, "w") as g2ofile:
for posetrans in trans_array.transformArray:
pose = trans2pose(posetrans.transform)
if index == 1:
pass
else:
rel_pose = posemath.toMsg(
(posemath.fromMsg(prev_pose).Inverse() *
posemath.fromMsg(pose)))
# tmp = posemath.toMsg( posemath.fromMsg(prev_pose)*posemath.fromMsg(rel_pose) )
prev_pose = pose
print >> g2ofile, "EDGE_SE3:QUAT {id1} {id2} {tx} {ty} {tz} {rx} {ry} {rz} {rw} {COVAR_STR}".format(
id1=posetrans.child_frame_id,
id2=posetrans.header.frame_id,
tx=rel_pose.position.x,
ty=rel_pose.position.y,
tz=rel_pose.position.z,
rx=rel_pose.orientation.x,
ry=rel_pose.orientation.y,
rz=rel_pose.orientation.z,
rw=rel_pose.orientation.w,
COVAR_STR=COVAR_STR)
# print >> g2ofile, "VERTEX_SE3:QUAT {pointID} {tx} {ty} {tz} {rx} {ry} {rz} {rw}".format(pointID=posetrans.header.frame_id,tx=pose.position.x,ty=pose.position.y,tz=pose.position.z,
# rx = pose.orientation.x, ry = pose.orientation.y, rz = pose.orientation.z, rw = pose.orientation.w)
index += 1
def move_rel_to_cartesian_pose_with_contact(self, time_from_start, rel_pose, wrench_constraint): print self.BCOLOR+"[IRPOS] Move relative to cartesian trajectory with contact"+self.ENDC self.conmanSwitch([self.robot_name+'mPoseInt', self.robot_name+'mForceTransformation'], [], True) time.sleep(0.05) actual_pose = self.get_cartesian_pose() # Transform poses to frames. actualFrame = pm.fromMsg(actual_pose) relativeFrame = pm.fromMsg(rel_pose) desiredFrame = actualFrame * relativeFrame pose = pm.toMsg(desiredFrame) cartesianGoal = CartesianTrajectoryGoal() cartesianGoal.wrench_constraint = wrench_constraint cartesianGoal.trajectory.points.append(CartesianTrajectoryPoint(rospy.Duration(time_from_start), pose, Twist())) cartesianGoal.trajectory.header.stamp = rospy.get_rostime() + rospy.Duration(0.1) self.pose_client.send_goal(cartesianGoal) self.pose_client.wait_for_result() result = self.pose_client.get_result() code = self.cartesian_error_code_to_string(result.error_code) print self.BCOLOR+"[IRPOS] Result: "+str(code)+self.ENDC self.conmanSwitch([], [self.robot_name+'mPoseInt', self.robot_name+'mForceTransformation'], True)
def set_pose_frame(self, frame):
"""
:param frame: PyKDL.Frame
"""
msg = posemath.toMsg(frame)
return self.__set_position_goal_cartesian_publish_and_wait(msg)
def get_new_waypoint(self,obj):
try:
# TODO: make the snap configurable
#(trans,rot) = self.listener.lookupTransform(obj,self.endpoint,rospy.Time(0))
(eg_trans,eg_rot) = self.listener.lookupTransform(self.gripper_center,self.endpoint,rospy.Time(0))
(og_trans,og_rot) = self.listener.lookupTransform(obj,self.gripper_center,rospy.Time(0))
rospy.logwarn("gripper obj:" + str((og_trans, og_rot)))
rospy.logwarn("endpoint gripper:" + str((eg_trans, eg_rot)))
xyz, rpy = [], []
for dim in og_trans:
# TODO: test to see if we should re-enable this
if abs(dim) < 0.0001:
xyz.append(0.)
else:
xyz.append(dim)
Rog = kdl.Rotation.Quaternion(*og_rot)
for dim in Rog.GetRPY():
rpy.append(np.round(dim / np.pi * 8.) * np.pi/8.)
Rog_corrected = kdl.Rotation.RPY(*rpy)
Vog_corrected = kdl.Vector(*xyz)
Tog_corrected = kdl.Frame(Rog_corrected, Vog_corrected)
rospy.logwarn(str(Tog_corrected) + ", " + str(Rog_corrected.GetRPY()))
Teg = pm.fromTf((eg_trans, eg_rot))
return pm.toMsg(Tog_corrected * Teg)
except (tf.LookupException, tf.ConnectivityException, tf.ExtrapolationException):
rospy.logerr('Failed to lookup transform from %s to %s'%(obj,self.endpoint))
return None
def getPlanWaypoints(self, waypoints_in_kdl_frame, q, obj=None):
cartesian_path_req = GetCartesianPathRequest()
cartesian_path_req.header.frame_id = self.base_link
cartesian_path_req.start_state = RobotState()
cartesian_path_req.start_state.joint_state.name = self.joint_names
if type(q) is list:
cartesian_path_req.start_state.joint_state.position = q
else:
cartesian_path_req.start_state.joint_state.position = q.tolist()
cartesian_path_req.group_name = self.group
cartesian_path_req.link_name = self.joint_names[-1]
cartesian_path_req.avoid_collisions = False
cartesian_path_req.max_step = 50
cartesian_path_req.jump_threshold = 0
# cartesian_path_req.path_constraints = Constraints()
if obj is not None:
self.updateAllowedCollisions(obj, True)
cartesian_path_req.waypoints = list()
for T in waypoints_in_kdl_frame:
cartesian_path_req.waypoints.append(pm.toMsg(T))
res = self.cartesian_path_plan.call(cartesian_path_req)
if obj is not None:
self.updateAllowedCollisions(obj, False)
return (res.error_code.val, res)
def transformPose(self, pose, targetFrame):
with self._lock:
tTargetFramePoseFrame = None
for trial in range(10):
self.checkPreemption()
try:
tTargetFramePoseFrame = self._tfListener.lookupTransform(
targetFrame, pose.header.frame_id, rospy.Time(0))
break
except (tf.LookupException, tf.ConnectivityException,
tf.ExtrapolationException):
rospy.sleep(0.5)
if tTargetFramePoseFrame is None:
raise ValueError('Could not transform pose from ' +
pose.header.frame_id + ' to ' + targetFrame)
# Convert poses to KDL
fTargetFramePoseFrame = posemath.fromTf(tTargetFramePoseFrame)
fPoseFrameChild = posemath.fromMsg(pose.pose)
# Compute transformation
fTargetFrameChild = fTargetFramePoseFrame * fPoseFrameChild
# Convert back to ROS message
poseStampedTargetFrameChild = PoseStamped()
poseStampedTargetFrameChild.pose = posemath.toMsg(
fTargetFrameChild)
poseStampedTargetFrameChild.header.stamp = rospy.Time.now()
poseStampedTargetFrameChild.header.frame_id = targetFrame
return poseStampedTargetFrameChild
def set_pose(self, pos, rot, unit='rad', wait_callback=True):
"""
:param pos_des: position array [x,y,z]
:param rot_des: rotation array [Z,Y,X euler angle]
:param unit: 'rad' or 'deg'
:param wait_callback: True or False
"""
if unit == 'deg':
rot = U.deg_to_rad(rot)
# limiting range of motion
limit_angle = 89 * np.pi / 180
if rot[1] > limit_angle: rot[1] = limit_angle
elif rot[1] < -limit_angle: rot[1] = -limit_angle
if rot[2] > limit_angle: rot[2] = limit_angle
elif rot[2] < -limit_angle: rot[2] = -limit_angle
# set in position cartesian mode
frame = self.NumpyArraytoPyKDLFrame(pos, rot)
msg = posemath.toMsg(frame)
print msg
# go to that position by goal
if wait_callback:
return self.__set_position_goal_cartesian_publish_and_wait(msg)
else:
self.goal_reached = False
self.__set_position_goal_cartesian_pub.publish(msg)
return True
def project_pose(self, pose): frame = pm.fromMsg(pose) [roll, pitch, yaw] = frame.M.GetRPY() frame.M = PyKDL.Rotation.RPY(0, 0, yaw) projected = pm.toMsg(frame) projected.position.z = 0 return projected
def insert6DofGlobalMarker(self):
int_position_marker = InteractiveMarker()
int_position_marker.header.frame_id = 'world'
int_position_marker.name = 'jar_marker'
int_position_marker.scale = 0.2
int_position_marker.pose = pm.toMsg(self.T_W_J)
int_position_marker.controls.append(
self.createInteractiveMarkerControl6DOF(
InteractiveMarkerControl.ROTATE_AXIS, 'x'))
int_position_marker.controls.append(
self.createInteractiveMarkerControl6DOF(
InteractiveMarkerControl.ROTATE_AXIS, 'y'))
int_position_marker.controls.append(
self.createInteractiveMarkerControl6DOF(
InteractiveMarkerControl.ROTATE_AXIS, 'z'))
int_position_marker.controls.append(
self.createInteractiveMarkerControl6DOF(
InteractiveMarkerControl.MOVE_AXIS, 'x'))
int_position_marker.controls.append(
self.createInteractiveMarkerControl6DOF(
InteractiveMarkerControl.MOVE_AXIS, 'y'))
int_position_marker.controls.append(
self.createInteractiveMarkerControl6DOF(
InteractiveMarkerControl.MOVE_AXIS, 'z'))
box = self.createAxisMarkerControl(Point(0.15, 0.015, 0.015),
Point(0.0, 0.0, 0.0))
box.interaction_mode = InteractiveMarkerControl.BUTTON
box.name = 'button'
int_position_marker.controls.append(box)
self.server.insert(int_position_marker, self.processFeedback)
self.server.applyChanges()
def transformSE3(msg):
global pose
curPos = pm.Frame(
pm.Rotation.Quaternion(msg.orientation.x, msg.orientation.y,
msg.orientation.z, msg.orientation.w),
pm.Vector(msg.position.x, msg.position.y, msg.position.z))
curVel = pm.Twist(
pm.Vector(msg.linear_velocity.x, msg.linear_velocity.y,
msg.linear_velocity.z),
pm.Vector(msg.angular_velocity.x, msg.angular_velocity.y,
msg.angular_velocity.z))
pos = pose * curPos
vel = pose * curVel
tmp = pm.toMsg(pos)
msg.position = tmp.position
msg.orientation = tmp.orientation
# Normalize orientation
quat_original = np.array([
msg.orientation.x, msg.orientation.y, msg.orientation.z,
msg.orientation.w
])
quat_normalized = quat_original / np.linalg.norm(quat_original)
# Update orientation
msg.orientation.x, msg.orientation.y, msg.orientation.z, msg.orientation.w = quat_normalized[
0], quat_normalized[1], quat_normalized[2], quat_normalized[3]
msg.linear_velocity = Vector3(vel.vel.x(), vel.vel.y(), vel.vel.z())
msg.angular_velocity = Vector3(vel.rot.x(), vel.rot.y(), vel.rot.z())
def get_waypoints(self,frame_type,predicates,transforms,names):
self.and_srv.wait_for_service()
type_predicate = PredicateStatement()
type_predicate.predicate = frame_type
type_predicate.params = ['*','','']
res = self.and_srv([type_predicate]+predicates)
print "Found matches: " + str(res.matching)
#print res
if (not res.found) or len(res.matching) < 1:
return None
poses = []
for tform in transforms:
poses.append(pm.fromMsg(tform))
#print poses
new_poses = []
new_names = []
for match in res.matching:
try:
(trans,rot) = self.listener.lookupTransform(self.world,match,rospy.Time(0))
for (pose, name) in zip(poses,names):
#resp.waypoints.poses.append(pm.toMsg(pose * pm.fromTf((trans,rot))))
new_poses.append(pm.toMsg(pm.fromTf((trans,rot)) * pose))
new_names.append(match + "/" + name)
except (tf.LookupException, tf.ConnectivityException, tf.ExtrapolationException):
rospy.logwarn('Could not find transform from %s to %s!'%(self.world,match))
return (new_poses, new_names)
def move_rel_to_cartesian_pose(self, time_from_start, rel_pose): print self.BCOLOR+"[IRPOS] Move relative to cartesian trajectory"+self.ENDC self.conmanSwitch([self.robot_name+'mPoseInt'], [], True) actual_pose = self.get_cartesian_pose() # Transform poses to frames. actualFrame = pm.fromMsg(actual_pose) relativeFrame = pm.fromMsg(rel_pose) desiredFrame = actualFrame * relativeFrame pose = pm.toMsg(desiredFrame) cartesianGoal = CartesianTrajectoryGoal() cartesianGoal.trajectory.points.append(CartesianTrajectoryPoint(rospy.Duration(time_from_start), pose, Twist())) cartesianGoal.trajectory.header.stamp = rospy.get_rostime() + rospy.Duration(0.1) cartesianGoal.path_tolerance = CartesianTolerance(Vector3(self.CART_POS_TOLERANCE,self.CART_POS_TOLERANCE,self.CART_POS_TOLERANCE),Vector3(self.CART_ROT_TOLERANCE,self.CART_ROT_TOLERANCE,self.CART_ROT_TOLERANCE)) cartesianGoal.goal_tolerance = CartesianTolerance(Vector3(self.CART_POS_TOLERANCE,self.CART_POS_TOLERANCE,self.CART_POS_TOLERANCE),Vector3(self.CART_ROT_TOLERANCE,self.CART_ROT_TOLERANCE,self.CART_ROT_TOLERANCE)) self.pose_client.send_goal(cartesianGoal) self.pose_client.wait_for_result() result = self.pose_client.get_result() code = self.cartesian_error_code_to_string(result.error_code) print self.BCOLOR+"[IRPOS] Result: "+str(code)+self.ENDC self.conmanSwitch([], [self.robot_name+'mPoseInt'], True) return result
def get_new_waypoint(self,obj):
try:
(trans,rot) = self.listener.lookupTransform(obj,self.endpoint,rospy.Time(0))
return pm.toMsg(pm.fromTf((trans,rot)))
except (tf.LookupException, tf.ConnectivityException, tf.ExtrapolationException):
rospy.logerr('Failed to lookup transform from %s to %s'%(obj,self.endpoint))
return None
def LoopPosearrayInitpose(transformstamped, posestampedarray_src,
posestampedarray_target):
tmp = 1
id_src = checkHeaderID(transformstamped.header.frame_id,
posestampedarray_src)
id_target = checkHeaderID(transformstamped.child_frame_id,
posestampedarray_target)
# if ()
if not (id_src > 0 and id_target > 0):
print(
"========================================checkHeaderID==========================="
)
print(
"transformstamped.header.frame_id = {} : posestampedarray_src = {}"
.format(transformstamped.header.frame_id, posestampedarray_src))
print(
"transformstamped.child_frame_id = {} : posestampedarray_target = {}"
.format(transformstamped.child_frame_id, posestampedarray_target))
# assert(False)
return None
trans_r1_f1_findex = posemath.fromMsg(
posestampedarray_src.poseArray[id_src].pose)
trans_r1_r2_findex_findex = posemath.fromMsg(
trans2pose(transformstamped.transform)).Inverse()
trans_r1_r2_f1_finex = trans_r1_f1_findex * trans_r1_r2_findex_findex
trans_r2_findex_f1 = posemath.fromMsg(
posestampedarray_target.poseArray[id_target].pose).Inverse()
trans_r1_r2_f1_f1 = trans_r1_r2_f1_finex * trans_r2_findex_f1
return posemath.toMsg(trans_r1_r2_f1_f1)
def calc_relative_pose(self, x,y,z,roll=0,pitch=0,yew=0, in_tip_frame=True):
_pose=self.endpoint_pose()
########################################
# set target position
trans = PyKDL.Vector(x,y,z)
rot = PyKDL.Rotation.RPY(roll,pitch,yew)
f2 = PyKDL.Frame(rot, trans)
if in_tip_frame:
# endpoint's cartesian systems
_pose=posemath.toMsg(posemath.fromMsg(_pose) * f2)
else:
# base's cartesian systems
_pose=posemath.toMsg(f2 * posemath.fromMsg(_pose))
return _pose
def transform_wrist_frame(T_tool, ft, tool_x_offset=0.0):
'''
:param T_tool: desired *_gripper_tool_frame pose w.r.t. some reference frame. Can be of type kdl.Frame or geometry_msgs.Pose.
:param ft: bool. True if the arm has a force-torque sensor
:param tool_x_offset: (double) offset in tool length
:return: T_torso_wrist. geometry_msgs.Pose type. Wrist pose w.r.t. same ref frame as T_tool
'''
if ft:
T_wrist_tool = kdl.Frame(kdl.Rotation.Identity(), kdl.Vector(0.216 + tool_x_offset, 0.0, 0.0))
else:
T_wrist_tool = kdl.Frame(kdl.Rotation.Identity(), kdl.Vector(0.180 + tool_x_offset, 0.0, 0.0))
if type(T_tool) is Pose:
T_tool_ = posemath.fromMsg(T_tool)
elif type(T_tool) is tuple and len(T_tool) is 2:
T_tool_ = posemath.fromTf(T_tool)
else:
T_tool_ = T_tool
T_wrist_ = T_tool_*T_wrist_tool.Inverse()
T_wrist = posemath.toMsg(T_wrist_)
return T_wrist
def callback_state(self, data):
# If state is not being reset proceed otherwise skip callback
if self.reset.isSet():
if self.real_robot:
# Convert Pose from relative to Map to relative to World frame
f_r_in_map = posemath.fromMsg(data)
f_r_in_world = self.world_to_map * f_r_in_map
data = posemath.toMsg(f_r_in_world)
x = data.position.x
y = data.position.y
orientation = PyKDL.Rotation.Quaternion(data.orientation.x,
data.orientation.y,
data.orientation.z,
data.orientation.w)
euler_orientation = orientation.GetRPY()
yaw = euler_orientation[2]
# Append Pose to Path
stamped_mir_pose = PoseStamped()
stamped_mir_pose.pose = data
stamped_mir_pose.header.stamp = rospy.Time.now()
stamped_mir_pose.header.frame_id = self.path_frame
self.mir_path.poses.append(stamped_mir_pose)
self.mir_exec_path.publish(self.mir_path)
# Update internal Pose variable
self.mir_pose = copy.deepcopy([x, y, yaw])
else:
pass
def get_ik_simple(service, goal, seed, joint_names, tip_frame, tool=None):
validate_quat(goal.pose.orientation)
# Transforms the goal due to the tip frame
if tool:
tool_in_tip = tfl.transformPose(tip_frame, tool)
tool_in_tip_t = pm.fromMsg(tool_in_tip.pose)
goal_t = pm.fromMsg(goal.pose)
#goal.pose = pm.toMsg(tool_in_tip_t.Inverse() * goal_t)
#goal = PoseStamped(header = goal.header, pose = pm.toMsg(tool_in_tip_t.Inverse() * goal_t))
goal = PoseStamped(header = goal.header, pose = pm.toMsg(goal_t * tool_in_tip_t.Inverse()))
req = PositionIKRequest()
req.ik_link_name = tip_frame
req.pose_stamped = goal
req.ik_seed_state.joint_state.name = joint_names
req.ik_seed_state.joint_state.position = seed
error_code = 0
for i in range(10):
resp = service(req, rospy.Duration(10.0))
if resp.error_code.val != 1:
rospy.logerr("Error in IK: %d" % resp.error_code.val)
else:
return list(resp.solution.joint_state.position)
return []
def insert6DofGlobalMarker(self):
T_B_T = self.velma.getTf("B", "T" + self.prefix)
int_position_marker = InteractiveMarker()
int_position_marker.header.frame_id = 'torso_base'
int_position_marker.name = self.prefix + '_arm_position_marker'
int_position_marker.scale = 0.2
int_position_marker.pose = pm.toMsg(T_B_T)
int_position_marker.controls.append(
self.createInteractiveMarkerControl6DOF(
InteractiveMarkerControl.ROTATE_AXIS, 'x'))
int_position_marker.controls.append(
self.createInteractiveMarkerControl6DOF(
InteractiveMarkerControl.ROTATE_AXIS, 'y'))
int_position_marker.controls.append(
self.createInteractiveMarkerControl6DOF(
InteractiveMarkerControl.ROTATE_AXIS, 'z'))
int_position_marker.controls.append(
self.createInteractiveMarkerControl6DOF(
InteractiveMarkerControl.MOVE_AXIS, 'x'))
int_position_marker.controls.append(
self.createInteractiveMarkerControl6DOF(
InteractiveMarkerControl.MOVE_AXIS, 'y'))
int_position_marker.controls.append(
self.createInteractiveMarkerControl6DOF(
InteractiveMarkerControl.MOVE_AXIS, 'z'))
box = self.createAxisMarkerControl(Point(0.15, 0.015, 0.015),
Point(0.0, 0.0, 0.0))
box.interaction_mode = InteractiveMarkerControl.BUTTON
box.name = 'button'
int_position_marker.controls.append(box)
self.server.insert(int_position_marker, self.processFeedback)
self.server.applyChanges()
def virtualObjectLeftHand():
print "Creating a virtual object attached to gripper..."
# for more details refer to ROS docs for moveit_msgs/AttachedCollisionObject
object1 = AttachedCollisionObject()
object1.link_name = "left_HandGripLink"
object1.object.header.frame_id = "left_HandGripLink"
object1.object.id = "object1"
object1_prim = SolidPrimitive()
object1_prim.type = SolidPrimitive.CYLINDER
object1_prim.dimensions=[None, None] # set initial size of the list to 2
object1_prim.dimensions[SolidPrimitive.CYLINDER_HEIGHT] = 0.23
object1_prim.dimensions[SolidPrimitive.CYLINDER_RADIUS] = 0.06
object1_pose = pm.toMsg(PyKDL.Frame(PyKDL.Rotation.RotY(math.pi/2)))
object1.object.primitives.append(object1_prim)
object1.object.primitive_poses.append(object1_pose)
object1.object.operation = CollisionObject.ADD
object1.touch_links = ['left_HandPalmLink',
'left_HandFingerOneKnuckleOneLink',
'left_HandFingerOneKnuckleTwoLink',
'left_HandFingerOneKnuckleThreeLink',
'left_HandFingerTwoKnuckleOneLink',
'left_HandFingerTwoKnuckleTwoLink',
'left_HandFingerTwoKnuckleThreeLink',
'left_HandFingerThreeKnuckleTwoLink',
'left_HandFingerThreeKnuckleThreeLink']
return object1
def execute_cb(goal):
rospy.loginfo("Action server received goal")
preempt_timeout = rospy.Duration(5.0)
for i in range(1,5):
rospy.loginfo('Detecting plug in gripper from position %i'%i)
# move to joint space position
rospy.loginfo("Move in joint space...")
if joint_space_client.send_goal_and_wait(get_action_goal('pr2_plugs_configuration/detect_plug_in_gripper%i'%i), rospy.Duration(20.0), preempt_timeout) != GoalStatus.SUCCEEDED:
rospy.logerr('Move retract in joint space failed')
server.set_aborted()
return
# call vision plug detection
rospy.loginfo("Detecting plug...")
detect_plug_goal = VisionPlugDetectionGoal()
detect_plug_goal.camera_name = "/r_forearm_cam"
#detect_plug_goal.prior.pose = toMsg(PyKDL.Frame(PyKDL.Rotation.RPY(pi/2, 0.0, -pi/9), PyKDL.Vector(-.03, 0, 0)).Inverse())
detect_plug_goal.prior.pose = toMsg(PyKDL.Frame(PyKDL.Rotation.RPY(-pi/2, pi/9, 0.0), PyKDL.Vector(0.03, 0, -0.01)))
detect_plug_goal.prior.header.stamp = rospy.Time.now()
detect_plug_goal.prior.header.frame_id = "r_gripper_tool_frame"
detect_plug_goal.origin_on_right = True
detect_plug_goal.prior.header.stamp = rospy.Time.now()
if detect_plug_client.send_goal_and_wait(detect_plug_goal, rospy.Duration(5.0), preempt_timeout) == GoalStatus.SUCCEEDED:
server.set_succeeded(DetectPlugInGripperResult(detect_plug_client.get_result().plug_pose))
rospy.loginfo("Action server goal finished")
return
# Failure
rospy.logerr("Failed to detect plug in gripper")
server.set_aborted(DetectPlugInGripperResult(detect_plug_goal.prior))
def move_rel_to_cartesian_pose_with_contact(self, time_from_start, rel_pose, wrench_constraint): print self.BCOLOR+"[IRPOS] Move relative to cartesian trajectory with contact"+self.ENDC self.conmanSwitch([self.robot_name+'mPoseInt', self.robot_name+'mForceTransformation'], [], True) time.sleep(0.05) actual_pose = self.get_cartesian_pose() # Transform poses to frames. actualFrame = pm.fromMsg(actual_pose) relativeFrame = pm.fromMsg(rel_pose) desiredFrame = actualFrame * relativeFrame pose = pm.toMsg(desiredFrame) cartesianGoal = CartesianTrajectoryGoal() cartesianGoal.wrench_constraint = wrench_constraint cartesianGoal.trajectory.points.append(CartesianTrajectoryPoint(rospy.Duration(time_from_start), pose, Twist())) cartesianGoal.trajectory.header.stamp = rospy.get_rostime() + rospy.Duration(0.1) self.pose_client.send_goal(cartesianGoal) self.pose_client.wait_for_result() result = self.pose_client.get_result() code = self.cartesian_error_code_to_string(result.error_code) print self.BCOLOR+"[IRPOS] Result: "+str(code)+self.ENDC self.conmanSwitch([], [self.robot_name+'mPoseInt', self.robot_name+'mForceTransformation'], True)
def __frame_to_tfxPose(self, frame):
""" Function converts a PyKDL Frame object to a tfx object """
""" We convert a PyKDL.Frame object to a ROS posemath object and then reconvert it to a tfx.canonical.CanonicalTransform object """
""":returns: tfx pose """
rosMsg = posemath.toMsg(frame)
return tfx.pose(rosMsg)
def publish_tf_to_tree(tf_msg, var_frame_id, var_child_frame_id):
global br, listener
print("start publish tf")
listener.waitForTransform(var_frame_id, tf_msg.header.frame_id,
rospy.Time(), rospy.Duration(4.0))
listener.waitForTransform(tf_msg.child_frame_id, var_child_frame_id,
rospy.Time(), rospy.Duration(4.0))
frame_tf_msg = listener._buffer.lookup_transform(
strip_leading_slash(var_frame_id),
strip_leading_slash(tf_msg.header.frame_id), rospy.Time(0))
child_frame_tf_msg = listener._buffer.lookup_transform(
strip_leading_slash(tf_msg.child_frame_id),
strip_leading_slash(var_child_frame_id), rospy.Time(0))
print("frame_tf_msg:" + str(frame_tf_msg))
print("child_frame_tf_msg:" + str(child_frame_tf_msg))
frame_tf = posemath.fromMsg(trackutils.trans2pose(frame_tf_msg.transform))
print("frame_tf:" + str(frame_tf))
child_frame_tf = posemath.fromMsg(
trackutils.trans2pose(child_frame_tf_msg.transform))
print("child_frame_tf:" + str(child_frame_tf))
tf_kdl = posemath.fromMsg(trackutils.trans2pose(tf_msg.transform))
print("tf_kdl:" + str(tf_kdl))
tf_msg.transform = trackutils.pose2trans(
posemath.toMsg(frame_tf * tf_kdl * child_frame_tf))
tf_msg.header.stamp = tf_msg.header.stamp
tf_msg.header.frame_id = var_frame_id
tf_msg.child_frame_id = var_child_frame_id
print("publish:" + str(tf_msg))
br.sendTransformMessage(tf_msg)
def maintain_tf_tree(odom_to_scene_before=None, odom_to_scene_after=None):
global br, listener, self_ID
base_to_scene = TransformStamped()
base_to_scene.transform = trackutils.pose2trans(
posemath.toMsg(
kdl.Frame(kdl.Rotation.Quaternion(x=0.5, y=-0.5, z=0.5, w=-0.5))))
base_to_scene.header.stamp = rospy.Time.now()
base_to_scene.header.frame_id = "base_link{}".format(self_ID)
base_to_scene.child_frame_id = "scene{}".format(self_ID)
br.sendTransformMessage(base_to_scene)
if odom_to_scene_before == None or odom_to_scene_after == None:
map_to_odom = TransformStamped()
map_to_odom.header.stamp = rospy.Time.now()
map_to_odom.transform.rotation.w = 1.
map_to_odom.header.frame_id = "/map{}".format(self_ID)
map_to_odom.child_frame_id = "/odom{}".format(self_ID)
print(map_to_odom)
br.sendTransformMessage(map_to_odom) #发送map和odom的TF树
elif odom_to_scene_before == odom_to_scene_after:
listener.waitForTransform("map{}".format(self_ID),
"odom{}".format(self_ID), rospy.Time(),
rospy.Duration(4.0))
map_to_odom = listener._buffer.lookup_transform(
"map{}".format(self_ID), "odom{}".format(self_ID), rospy.Time(0))
map_to_odom.header.stamp = rospy.Time.now()
br.sendTransformMessage(map_to_odom) #发送map和odom的TF树
else:
listener.waitForTransform("map{}".format(self_ID),
"odom{}".format(self_ID), rospy.Time(),
rospy.Duration(4.0))
map_to_odom = listener._buffer.lookup_transform(
"map{}".format(self_ID), "odom{}".format(self_ID), rospy.Time(0))
map_to_odom.header.stamp = rospy.Time.now()
map_to_odom_kdl = posemath.fromMsg(
trackutils.trans2pose(map_to_odom.transform))
init_pose = kdl.Frame(
kdl.Rotation.Quaternion(x=0.5, y=-0.5, z=0.5, w=-0.5))
odom_to_scene_after_kdl = init_pose * posemath.fromMsg(
odom_to_scene_after)
odom_to_scene_before_kdl = init_pose * posemath.fromMsg(
odom_to_scene_before)
map_to_odom_kdl = map_to_odom_kdl * odom_to_scene_before_kdl * odom_to_scene_after_kdl.Inverse(
)
map_to_odom.transform = trackutils.pose2trans(
posemath.toMsg(map_to_odom_kdl))
br.sendTransformMessage(map_to_odom) #发送map和odom的TF树
def get_desired_cartesian_position(self):
"""Get the :ref:`desired cartesian position <currentvdesired>` of the robot in terms of caretsian space.
:returns: the desired position of the robot in cartesian space
:rtype: `PyKDL.Frame <http://docs.ros.org/diamondback/api/kdl/html/python/geometric_primitives.html>`_"""
frame = self.__position_cartesian_desired
tfx_pose = tfx.pose(posemath.toMsg(frame))
return tfx_pose
def forward_kinematics_cb(self, req):
''' Run forward kinematics on a joint space pose and return the result.
'''
q = req.joint_state.position
kdl_pose = pm.fromMatrix(self.kdl_kin.forward(q))
pose_msg = pm.toMsg(kdl_pose)
response = ForwardKinematicsResponse(pose=pose_msg, ack="SUCCESS")
return response
def get_world_pose(self):
self.__call__()
self.listener.waitForTransform("/world", self.object_name,
rospy.Time(0), rospy.Duration(10))
return pm.toMsg(
pm.fromTf(
self.listener.lookupTransform("/world", self.object_name,
rospy.Time(0))))
def moveTool(tool_frame, t):
global action_tool_client
tool_pose = pm.toMsg(tool_frame)
action_tool_goal = CartesianTrajectoryGoal()
action_tool_goal.trajectory.header.stamp = rospy.Time.now()
action_tool_goal.trajectory.points.append(CartesianTrajectoryPoint(
rospy.Duration(t),
tool_pose,
Twist()))
action_tool_client.send_goal(action_tool_goal)
def handle_rgbd(self, qq):
if self.triggermode==True and self.find==False:
return
(imgmsg, caminfo, pointcloud) = qq
if not pointcloud or pointcloud._type != 'sensor_msgs/PointCloud2':
return
print "rgbd"
img = CvBridge().imgmsg_to_cv(imgmsg, "mono8")
pcm = image_geometry.PinholeCameraModel()
pcm.fromCameraInfo(caminfo)
self.track(CvBridge().imgmsg_to_cv(imgmsg, "rgb8"))
for (code, corners) in self.tracking.items():
cx = 0.0
cy = 0.0
count = 0.0
for (x,y) in corners:
cx += x
cy += y
count += 1.0
cx /= count
cy /= count
model = cv.fromarray(numpy.array([[0,0,0], [.1, 0, 0], [.1, .1, 0], [0, .1, 0]], numpy.float32))
rot = cv.CreateMat(3, 1, cv.CV_32FC1)
trans = cv.CreateMat(3, 1, cv.CV_32FC1)
cv.FindExtrinsicCameraParams2(model,
cv.fromarray(numpy.array(corners, numpy.float32)),
pcm.intrinsicMatrix(),
pcm.distortionCoeffs(),
rot,
trans)
#ts = geometry_msgs.msg.TransformStamped()
#ts.header.frame_id = imgmsg.header.frame_id
#ts.header.stamp = imgmsg.header.stamp
#ts.child_frame_id = code
#rot = cv.fromarray(rot)
#trans = cv.fromarray(trans)
posemsg = pm.toMsg(self.fromCameraParams(cv, rot, trans))
points = read_points(pointcloud, None, False, [(int(cx), int(cy))])
#pointcloud.data(cy*pointcloud.row_step+cx*pointcloud.point_step)
print type(points)
for point in points:
print type(point)
print point
posemsg.position = point
#ts.transform.rotation = posemsg.orientation
#print pcm.fullProjectionMatrix()
#posemsg.position = points[0]
print "Pose: ", posemsg.position
self.broadcast(imgmsg.header, code, posemsg)
def getposecb(self, a, b):
print "Setting Pose based on world model"
if((rospy.Time.now().to_sec() - b.pose.header.stamp.to_sec()) > 4.0):
print "time now = ", rospy.Time.now().to_sec(), "time from pose = ", b.pose.header.stamp.to_sec()
print "Time stamp of detection to old: diff=", (rospy.Time.now().to_sec() - b.pose.header.stamp.to_sec())
if(self.detection_counter <= 4):
self.detection_counter += 1
return "preempted"
else:
self.detection_counter = 0
return "aborted"
self.config_over_object.header.stamp = rospy.Time.now()
self.config_over_object.pose.position.x = b.pose.pose.position.x
self.config_over_object.pose.position.y = b.pose.pose.position.y
#ao = PyKDL.Rotation.Quaternion(self.config_over_object.pose.orientation.x, self.config_over_object.pose.orientation.y, self.config_over_object.pose.orientation.z, self.config_over_object.pose.orientation.w)
#ao = PyKDL.Rotation.Quaternion(self.config_over_object.pose.orientation.x, self.config_over_object.pose.orientation.y, self.config_over_object.pose.orientation.z, self.config_over_object.pose.orientation.w)
#bo = PyKDL.Rotation.Quaternion(b.pose.pose.orientation.x, b.pose.pose.orientation.y, b.pose.pose.orientation.z, b.pose.pose.orientation.w)
#c = ao #* bo#.Inverse()
m_manip = pm.toMatrix( pm.fromMsg(self.config_over_object.pose) )
m_obj = pm.toMatrix( pm.fromMsg(b.pose.pose) )
import numpy
from tf.transformations import *
m_ori = pm.toMatrix( pm.fromTf( ((0,0,0), quaternion_from_euler(0, 0, math.radians(-20.0))) ))
box_pose = pm.toMsg( pm.fromMatrix(numpy.dot(m_manip,m_obj)) )
m_test = numpy.dot(m_manip,m_obj)
newrot = pm.toMsg( pm.fromMatrix(m_test))
print newrot
print self.config_over_object.pose
#print c.GetQuaternion()
self.config_over_object.pose.orientation = box_pose.orientation
#self.config_over_object.pose.orientation.y = c.GetQuaternion()[1]
#self.config_over_object.pose.orientation.z = c.GetQuaternion()[2]
#self.config_over_object.pose.orientation.w = c.GetQuaternion()[3]
#self.config_over_object.pose.position.z = 0.30#0.430
self.config_object.header.stamp = rospy.Time.now()
self.config_object.pose.position.x = b.pose.pose.position.x
self.config_object.pose.position.y = b.pose.pose.position.y
#self.config_object.pose.position.z = 0.2 #0.095
self.config_object.pose.orientation = box_pose.orientation
def call_planner(self, stage):
self.status.planning_status = stage
print(stage)
if stage == ObjectStatus.PREGRASP:
target_pose = self.status.pose_stamped.pose
pregrasp_distance = .1
#The marker pose is defined in the torso coordinate system
target_tran = pm.toMatrix(pm.fromMsg(target_pose))
hand_tran = target_tran.copy()
#Align hand perpendicular to cylinder in its canonical pose
hand_tran[:3,1] = target_tran[:3,2]
hand_tran[:3,2] = target_tran[:3,0]
hand_tran[:3,0] = target_tran[:3,1]
pregrasp_tran = hand_tran.copy()
#The approach direction of this gripper is -y for some reason
pregrasp_tran[:3,3] = pregrasp_tran[:3,3] + pregrasp_tran[:3,1]*pregrasp_distance
hand_tran_pose = pm.toMsg(pm.fromMatrix(hand_tran))
pregrasp_pose = pm.toMsg(pm.fromMatrix(pregrasp_tran))
req = PosePlanningSrv._request_class()
req.TargetPoses = [pregrasp_pose, hand_tran_pose]
req.ManipulatorID = int(self.status.hands == self.status.RIGHT)
res = None
try:
print(req)
res = self.pregrasp_planner_client.call(req)
self.status.operating_status = self.status.PLANNING
#print res
self.last_plan = res.PlannedTrajectory
except:
res = None
rospy.loginfo("Planner failed to pregrasp")
self.status.operating_status = self.status.ERROR
def __move_cartesian_direct(self, end_frame):
"""Move the arm to the end position by passing the trajectory generator.
:param end_frame: the ending `PyKDL.Frame <http://docs.ros.org/diamondback/api/kdl/html/python/geometric_primitives.html>`_
:returns: true if you had successfully move
:rtype: Bool"""
# set in position cartesian mode
end_position = posemath.toMsg(end_frame)
# go to that position directly
self.__set_position_cartesian_pub.publish(end_position)
return True
def publish_state(self, event):
for joint, frame in self.frames.items():
msg = PoseStamped()
# Populate the msg
msg.pose = posemath.toMsg(frame)
# Publish the msg
msg.header.frame_id = self.frame_id
msg.header.stamp = rospy.Time.now()
self.pose_pub[joint].publish(msg)
# Draw the skeleton
self.draw_robot()
def plug_in_contact(ud):
"""Returns true if the plug is in contact with something."""
pose_base_gripper = fromMsg(TFUtil.wait_and_lookup('base_link', 'r_gripper_tool_frame').pose)
pose_outlet_plug = fromMsg(ud.base_to_outlet).Inverse() * pose_base_gripper * fromMsg(ud.gripper_to_plug)
# check if difference between desired and measured outlet-plug along x-axis is more than 1 cm
ud.outlet_to_plug_contact = toMsg(pose_outlet_plug)
if math.fabs(pose_outlet_plug.p[0] - ud.approach_offset) > 0.01:
return True
return False
def test_roundtrip(self):
c = Frame()
d = pm.fromMsg(pm.toMsg(c))
self.assertEqual(repr(c), repr(d))
d = pm.fromMatrix(pm.toMatrix(c))
self.assertEqual(repr(c), repr(d))
d = pm.fromTf(pm.toTf(c))
self.assertEqual(repr(c), repr(d))
def handle_stereo(self, qq):
(lmsg, lcmsg, rmsg, rcmsg) = qq
limg = CvBridge().imgmsg_to_cv(lmsg, "mono8")
rimg = CvBridge().imgmsg_to_cv(rmsg, "mono8")
if 0:
cv.SaveImage("/tmp/l%06d.png" % self.i, limg)
cv.SaveImage("/tmp/r%06d.png" % self.i, rimg)
self.i += 1
scm = image_geometry.StereoCameraModel()
scm.fromCameraInfo(lcmsg, rcmsg)
bm = cv.CreateStereoBMState()
if "wide" in rospy.resolve_name("stereo"):
bm.numberOfDisparities = 160
if 0:
disparity = cv.CreateMat(limg.rows, limg.cols, cv.CV_16SC1)
started = time.time()
cv.FindStereoCorrespondenceBM(limg, rimg, disparity, bm)
print time.time() - started
ok = cv.CreateMat(limg.rows, limg.cols, cv.CV_8UC1)
cv.CmpS(disparity, 0, ok, cv.CV_CMP_GT)
cv.ShowImage("limg", limg)
cv.ShowImage("disp", ok)
cv.WaitKey(6)
self.track(CvBridge().imgmsg_to_cv(lmsg, "rgb8"))
if len(self.tracking) == 0:
print "No markers found"
for code, corners in self.tracking.items():
corners3d = []
for (x, y) in corners:
limr = cv.GetSubRect(limg, (0, y - bm.SADWindowSize / 2, limg.cols, bm.SADWindowSize + 1))
rimr = cv.GetSubRect(rimg, (0, y - bm.SADWindowSize / 2, rimg.cols, bm.SADWindowSize + 1))
tiny_disparity = cv.CreateMat(limr.rows, limg.cols, cv.CV_16SC1)
cv.FindStereoCorrespondenceBM(limr, rimr, tiny_disparity, bm)
if tiny_disparity[7, x] < 0:
return
corners3d.append(scm.projectPixelTo3d((x, y), tiny_disparity[7, x] / 16.0))
if 0:
cv.ShowImage("d", disparity)
(a, b, c, d) = [numpy.array(pt) for pt in corners3d]
def normal(s, t):
return (t - s) / numpy.linalg.norm(t - s)
x = PyKDL.Vector(*normal(a, b))
y = PyKDL.Vector(*normal(a, d))
f = PyKDL.Frame(PyKDL.Rotation(x, y, x * y), PyKDL.Vector(*a))
msg = pm.toMsg(f)
# print "%10f %10f %10f" % (msg.position.x, msg.position.y, msg.position.z)
print code, msg.position.x, msg.position.y, msg.position.z
self.broadcast(lmsg.header, code, msg)
def __setstate__(self, state):
self.model_name = state['model_name']
self.object_name = state['object_name']
buff = StringIO.StringIO()
buff.writelines(state['point_cloud_data'])
buff.seek(0)
self.point_cloud_data = sensor_msgs.msg.PointCloud2()
self.point_cloud_data.deserialize(buff.buf)
self.pose = pm.toMsg(pm.fromMatrix(state['pose']))
self.bc = ModelRecManager.tf_broadcaster
self.listener = ModelRecManager.tf_listener
def joy_cb(self, msg):
# Convenience
side = self.side
b = msg.buttons
lb = self.last_buttons
if (rospy.Time.now() - self.last_hand_cmd) < rospy.Duration(0.1):
return
# Update enabled fingers
self.move_f[0] = self.move_f[0] ^ (b[self.B1[side]] and not lb[self.B1[side]])
self.move_f[1] = self.move_f[1] ^ (b[self.B2[side]] and not lb[self.B2[side]])
self.move_f[2] = self.move_f[2] ^ (b[self.B3[side]] and not lb[self.B3[side]])
self.move_spread = self.move_spread ^ (b[self.B4[side]] and not lb[self.B4[side]])
self.move_all = self.move_all ^ (b[self.B_CENTER[side]] and not lb[self.B_CENTER[side]])
# Check if the deadman is engaged
if msg.axes[self.DEADMAN[side]] < 0.01:
if self.deadman_engaged:
self.hand_cmd.mode = [oro_barrett_msgs.msg.BHandCmd.MODE_VELOCITY] * 4
self.hand_cmd.cmd = [0.0, 0.0, 0.0, 0.0]
self.hand_pub.publish(self.hand_cmd)
self.last_hand_cmd = rospy.Time.now()
self.deadman_engaged = False
self.deadman_max = 0.0
else:
self.handle_hand_cmd(msg)
self.handle_cart_cmd(msg)
self.last_buttons = msg.buttons
self.last_axes = msg.axes
# Broadcast the command if it's defined
if self.cmd_frame:
# Broadcast command frame
tform = toTf(self.cmd_frame)
self.broadcaster.sendTransform(tform[0], tform[1], rospy.Time.now(), self.cmd_frame_id, 'world')
# Broadcast telemanip command
telemanip_cmd = TelemanipCommand()
telemanip_cmd.header.frame_id = 'world'
telemanip_cmd.header.stamp = rospy.Time.now()
telemanip_cmd.posetwist.pose = toMsg(self.cmd_frame)
telemanip_cmd.resync_pose = msg.buttons[self.THUMB_CLICK[side]] == 1
telemanip_cmd.deadman_engaged = self.deadman_engaged
if msg.axes[self.THUMB_Y[side]] > 0.5:
telemanip_cmd.grasp_opening = 0.0
elif msg.axes[self.THUMB_Y[side]] < -0.5:
telemanip_cmd.grasp_opening = 1.0
else:
telemanip_cmd.grasp_opening = 0.5
telemanip_cmd.estop = False # TODO: add master estop control
self.telemanip_cmd_pub.publish(telemanip_cmd)