def Rot_k_phi(self, k_vec, phi): #Eigen::Vector3d k_vec,float phi #Eigen::Matrix3d R_k_phi; kx = k_vec[0] ky = k_vec[1] kz = k_vec[2] #K_nrow = Vector(0.0, -kz, ky) #K_trow = Vector(kz, 0.0, -kx) #K_brow = Vector(-ky, kx, 0.0) N = 3 K = Rotation(0.0,-kz,ky, kz,0.0,-kx, -ky,kx,0.0) print "K",K Ksquare = K*K print "K^2",Ksquare I = Rotation() print "I",I K_Frame = Frame(K) print "K_Frame",K_Frame K_Frame_numpy = posemath.toMatrix(K_Frame) print "K_Frame_numpy",K_Frame_numpy K_numpy = K_Frame_numpy[0:3,0:3] print "K_numpy",K_numpy I_numpy = np.identity(N) print "I_numpy",I_numpy K_square_Frame = Frame(Ksquare) print "K_square_Frame",K_square_Frame K_square_Frame_numpy = posemath.toMatrix(K_square_Frame) print "K_square_Frame",K_square_Frame K_square_numpy = K_square_Frame_numpy[0:3,0:3] I_numpy = np.identity(N) print "math.sin(phi)",(math.sin(phi)) print "1-math.cos(phi)",(1-math.cos(phi)) print "K_numpy*K_numpy",K_numpy*K_numpy R_k_phi_numpy = I_numpy + math.sin(phi)*K_numpy + (1-math.cos(phi))*K_numpy*K_numpy print "R_k_phi_numpy",R_k_phi_numpy R_k_phi_numpy_FrameTemp = np.c_[R_k_phi_numpy, np.ones(N)] print "R_k_phi_numpy_FrameTemp",R_k_phi_numpy_FrameTemp R_k_phi_numpy_Frame = np.r_[R_k_phi_numpy_FrameTemp,[R_k_phi_numpy_FrameTemp[1]]] print "R_k_phi_numpy_Frame",R_k_phi_numpy_Frame R_k_phi_Frame = posemath.fromMatrix(R_k_phi_numpy_Frame) print "R_k_phi_Frame",R_k_phi_Frame R_k_phi = R_k_phi_Frame.M print "R_k_phi",R_k_phi R_k_phi_numpy_square = I_numpy + math.sin(phi)*K_numpy + (1-math.cos(phi))*K_square_numpy print "R_k_phi_numpy_square",R_k_phi_numpy_square R_k_phi_numpy_FrameTemp_square = np.c_[R_k_phi_numpy_square, np.ones(N)] print "R_k_phi_numpy_FrameTemp_square",R_k_phi_numpy_FrameTemp_square R_k_phi_numpy_Frame_square = np.r_[R_k_phi_numpy_FrameTemp_square,[R_k_phi_numpy_FrameTemp_square[1]]] print "R_k_phi_numpy_Frame_square",R_k_phi_numpy_Frame_square R_k_phi_Frame_square = posemath.fromMatrix(R_k_phi_numpy_Frame_square) print "R_k_phi_Frame",R_k_phi_Frame_square R_k_phi_square = R_k_phi_Frame_square.M print "R_k_phi",R_k_phi_square return R_k_phi
def get_des_twist(self, dT):
""" Get desired twist @ time t, by computing differential of traj_frame @ t=T-1 and t=T
"""
if self.cur_wp_idx > 1:
return PyKDL.diff(pm.fromMatrix(self.traj_list[self.cur_wp_idx - 1]), pm.fromMatrix(self.traj_list[self.cur_wp_idx]), dT)
else: # cur_wp_idx == num_wp
return PyKDL.diff(pm.fromMatrix(self.traj_list[self.cur_wp_idx]), pm.fromMatrix(self.traj_list[self.cur_wp_idx + 1]), dT)
def publish_grasp_tran(tran):
"""@brief - Add a grasp relative to the world origin to the scene graph
@param tran - the grasp transform.,
"""
bc = tf.TransformBroadcaster()
ttf = pm.toTf(pm.fromMatrix(tran))
bc.sendTransform(ttf[0], ttf[1], rospy.Time.now(), "/hand_goal_pose", "/world")
def update_position(self):
if self.q0 is None or self.old_q0 is None:
return
self.ee_pose = pm.fromMatrix(self.kdl_kin.forward(self.q0))
if self.goal is not None:
#goal_diff = np.abs(self.goal - self.q0).sum() / self.q0.shape[0]
cart_diff = 0 #(self.ee_pose.p - self.goal.p).Norm()
rot_diff = 0 #self.goal_rotation_weight * (pm.Vector(*self.ee_pose.M.GetRPY()) - pm.Vector(*self.goal.M.GetRPY())).Norm()
goal_diff = cart_diff + rot_diff
if goal_diff < self.max_goal_diff:
self.at_goal = True
if goal_diff < 10 * self.max_goal_diff:
self.near_goal = True
q_diff = np.abs(self.old_q0 - self.q0).sum()
if q_diff < self.max_q_diff:
self.moving = False
else:
self.moving = True
def generateCameraPose(vector3_origin,
vector3_point,
camera_view_axis,
camera_z_axis=np.array([0, 0, 1]),
set_constraint_z=True):
camera_view_vector = vector3_origin - vector3_point
camera_view_vector /= np.linalg.norm(camera_view_vector)
v = np.cross(camera_view_axis, camera_view_vector)
v_x = np.array([[0, -v[2], v[1]], [v[2], 0, -v[0]], [-v[1], v[0], 0]])
cosine = camera_view_axis.dot(camera_view_vector)
if (cosine == -1): cosine = -0.99999
rot_matrix = np.identity(3) + v_x + v_x.dot(v_x) * (1 / (1 + cosine))
if set_constraint_z:
new_x_vector = rot_matrix[:3, 0]
new_y_vector = np.cross(camera_z_axis, new_x_vector)
new_z_vector = np.cross(new_x_vector, new_y_vector)
rot_matrix[:3, 1] = new_y_vector / np.linalg.norm(new_y_vector)
rot_matrix[:3, 2] = new_z_vector / np.linalg.norm(new_z_vector)
np_frame = np.eye(4)
np_frame[:3, :3] = rot_matrix
np_frame[:3, 3] = vector3_point
kdl_frame = pm.fromMatrix(np_frame)
return kdl_frame
def evaluate(self, world):
'''
Reward is 0 at object.
'''
robot_actor = world.actors[0]
T_ee = pm.fromMatrix(robot_actor.robot.fwd(robot_actor.state.arm))
T_obj = world.getObject(self.goal).state.T
dist = (T_obj.p - T_ee.p).Norm()
#print "prev distance " + str(self.prev_distance) + " new distance " + str(dist)
#print dist
reward = 1 / dist
#print reward
#if (dist < self.prev_distance):
# reward = +1
#else:
# reward = -1
#if dist < .05:
# print "reached target"
# reward = 100
#print "reward " + str(reward)
#raw_input("Press Enter to continue...")
self.prev_distance = dist
return reward, 0
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 process_grasp_msg(self, grasp_msg):
"""@brief - Attempt to make the adjustment specified by grasp_msg
1. plan a path to the a place 15cm back from the new pose
"""
print 'regular move:'
print grasp_msg
#release the object
tp.open_barrett()
#get the robot's current location and calculate the absolute tran after the adjustment
#update the robot status
tp.update_robot(self.global_data.or_env.GetRobots()[0])
handGoalInBase = pm.toMatrix(pm.fromMsg(grasp_msg.final_grasp_pose))
try:
hand_tf = pm.toTf(pm.fromMatrix(handGoalInBase))
bc = tf.TransformBroadcaster()
now = rospy.Time.now()
bc.sendTransform(hand_tf[0], hand_tf[1], now, "hand_goal",
"armbase")
self.global_data.listener.waitForTransform("armbase",
"arm_goal", now,
rospy.Duration(1.0))
armtip_robot = self.global_data.listener.lookupTransform(
'armbase', 'arm_goal', now)
armGoalInBase = pm.toMatrix(pm.fromTf(armtip_robot))
except Exception, e:
handle_fatal('convert_cartesian_world_goal failed: error %s.' % e)
def processMarkerFeedback(feedback):
global marker_tf, marker_name
marker_name = feedback.marker_name
marker_offset_tf = ((0, 0, marker_offset), tf.transformations.quaternion_from_euler(0, 0, 0))
marker_tf = pm.toTf(pm.fromMatrix(numpy.dot(pm.toMatrix(pm.fromMsg(feedback.pose)), pm.toMatrix(pm.fromTf(marker_offset_tf)))))
if feedback.menu_entry_id:
marker_tf = zero_tf
def _makePose(self, pose_msg):
'''
Read in a pose message and convert it to a standard data format. We
use KDL Frames for fast operations down the line.
If we previously set the `from_unity` flag to true, then we need to
adjust our frames so that they make sense as well.
Parameters:
-----------
pose_msg: a ROS pose message
Returns:
--------
a KDL pose in right hand, z-up notation
'''
pose = pm.fromMsg(pose_msg)
if self.from_unity:
H = np.array([[0, 0, 1, 0], [-1, 0, 0, 0], [0, 1, 0, 0],
[0, 0, 0, 1]])
x = pm.toMatrix(pose)
x = H.dot(x)
pose = pm.fromMatrix(x)
return pose
def update_position(self):
if self.q0 is None or self.old_q0 is None:
return
self.ee_pose = pm.fromMatrix(self.kdl_kin.forward(self.q0))
if self.goal is not None:
cart_diff = (self.ee_pose.p - self.goal.p).Norm()
rot_diff = self.goal_rotation_weight * \
(pm.Vector(*self.ee_pose.M.GetRPY()) - pm.Vector(*self.goal.M.GetRPY())).Norm()
goal_diff = cart_diff + rot_diff
if goal_diff < self.max_goal_diff:
self.at_goal = True
else:
self.at_goal = False
if goal_diff < 10*self.max_goal_diff:
self.near_goal = True
q_diff = np.abs(self.old_q0 - self.q0).sum()
if q_diff < self.max_q_diff:
self.moving = False
else:
self.moving = True
def fromCameraParams(self, cv, rvec, tvec):
m = numpy.array([ [ 0, 0, 0, tvec[0,0] ],
[ 0, 0, 0, tvec[1,0] ],
[ 0, 0, 0, tvec[2,0] ],
[ 0, 0, 0, 1.0 ] ], dtype = numpy.float32)
cv.Rodrigues2(rvec, cv.fromarray(m[:3,:3]))
return pm.fromMatrix(m)
def getCartesianMove(self,
frame,
q0,
base_steps=1000,
steps_per_meter=1000,
time_multiplier=10):
# interpolate between start and goal
pose = pm.fromMatrix(self.kdl_kin.forward(q0))
cur_rpy = np.array(pose.M.GetRPY())
cur_xyz = np.array(pose.p)
goal_rpy = np.array(frame.M.GetRPY())
goal_xyz = np.array(frame.p)
steps = base_steps + int((pose.p - frame.p).Norm() * steps_per_meter)
print " -- Computing %f steps" % steps
ts = (pose.p - frame.p).Norm() / steps * time_multiplier
traj = JointTrajectory()
traj.points.append(
JointTrajectoryPoint(positions=q0,
velocities=[0] * len(q0),
accelerations=[0] * len(q0)))
# compute IK
for i in range(1, steps + 1):
xyz = cur_xyz + ((float(i) / steps) * (goal_xyz - cur_xyz))
rpy = cur_rpy + ((float(i) / steps) * (goal_rpy - cur_rpy))
frame = pm.toMatrix(
kdl.Frame(kdl.Rotation.RPY(rpy[0], rpy[1], rpy[2]),
kdl.Vector(xyz[0], xyz[1], xyz[2])))
#q = self.kdl_kin.inverse(frame,q0)
q = self.ik(frame, q0)
if self.verbose:
print "%d -- %s %s = %s" % (i, str(xyz), str(rpy), str(q))
if not q is None:
pt = JointTrajectoryPoint(positions=q,
velocities=[0] * len(q),
accelerations=[0] * len(q))
pt.time_from_start = rospy.Duration(i * ts)
traj.points.append(pt)
q0 = q
elif i == steps:
return JointTrajectory()
if len(traj.points) < base_steps:
print rospy.logerr("Planning failure with " \
+ str(len(traj.points)) \
+ " / " + str(base_steps) \
+ " points.")
return JointTrajectory()
traj.joint_names = self.joint_names
return traj
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 np2Transform(nparray):
npmat = nparray.reshape((3, 4))
R = npmat[0:3, 0:3]
assert (isrot(R, 10))
# T = npmat[0:3,3]
posetmp = posemath.fromMatrix(npmat)
transformtmp = posemath.toMsg(posetmp)
return transformtmp
def publish_grasp_tran(tran):
"""@brief - Add a grasp relative to the world origin to the scene graph
@param tran - the grasp transform.,
"""
bc = tf.TransformBroadcaster()
ttf = pm.toTf(pm.fromMatrix(tran))
bc.sendTransform(ttf[0], ttf[1], rospy.Time.now(), "/hand_goal_pose",
"/world")
def gstamPose2Transform(gstamPose):
npmat = np.zeros((3, 4))
npmat[0:3, 0:3] = gstamPose.rotation().matrix()
npmat[0, 3] = gstamPose.translation().x()
npmat[1, 3] = gstamPose.translation().y()
npmat[2, 3] = gstamPose.translation().z()
posetmp = posemath.fromMatrix(npmat)
transformtmp = posemath.toMsg(posetmp)
return transformtmp
def compute_twist(T0, T1):
"""
Compute the twist between two homogeneous transformations: `twist = T1 - T0`
Parameters
----------
T0: array_like
Initial homogeneous transformation
T1: array_like
Final homogeneous transformation
"""
F0 = posemath.fromMatrix(T0)
F1 = posemath.fromMatrix(T1)
kdl_twist = PyKDL.diff(F0, F1)
twist = np.zeros(6)
twist[:3] = [kdl_twist.vel.x(), kdl_twist.vel.y(), kdl_twist.vel.z()]
twist[3:] = [kdl_twist.rot.x(), kdl_twist.rot.y(), kdl_twist.rot.z()]
return twist
def GetForward(self,q):
#q = [0,0,0,0,0,0,0]
mat = self.kinematics.forward(q)
f = pm.fromMatrix(mat)
if not self.manip_frame is None:
f = f * self.manip_frame #* self.manip_frame.Inverse()
return f
def get_frame(self, matrix):
""" Convert the generic homogen. transformation matrix to geometrically same PyKDL frame.
TODO: how to convert
"""
# _r, _t = r.TransToRp(matrix)
# _rot = PyKDL.Rotation(_r[0][0], _r[0][1], _r[0][2],
# _r[1][0], _r[1][1], _r[1][2],
# _r[2][0], _r[2][1], _r[2][2])
# _tran = PyKDL.Vector(_t[0], _t[1], _t[2])
return pm.fromMatrix(np.array(matrix))
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 draw_raw_map():
global package_path
global arucos_dict
global BASE_ARUCO_ID
global rviz_marker_pub
global aruco_map
while(rviz_marker_pub.get_num_connections() < 1):
if rospy.is_shutdown():
rospy.signal_shutdown('Master主节点没有开启')
# load_aruco_map()
rospy.logwarn("请创建RVIZ的Subscriber")
rospy.sleep(5)
aruco_map[BASE_ARUCO_ID] = get_base_tag_pose()
# 绘制参考marker
draw_single_marker(BASE_ARUCO_ID, get_base_tag_pose(), alpha=0.8, height=0.05)
# 构建一个图
graph = aruco_udg(max_dis=rospy.get_param('max_distance'))
order = graph.BFS()
for aruco_id in order[1:]:
# 跳过第一个， 因为第一个是base aruco， 已经确定
# 按照拓扑顺序依次遍历
parent_id = graph.nodes_dict[aruco_id].parent_id
# 获取所有记录到的从parent变换到当前码的变换
pose_list = arucos_dict[parent_id][aruco_id]
# 均值滤波获取Pose
pose = weighted_mean_filter(pose_list)
# 父亲码在世界坐标系下的位姿
parent_pose = aruco_map[parent_id]
world2parent_mat = pm.toMatrix(pm.fromMsg(parent_pose))
parent2child_mat = pm.toMatrix(pm.fromMsg(pose))
world2child_mat = world2parent_mat.dot(parent2child_mat)
aruco_pose = pm.toMsg(pm.fromMatrix(world2child_mat))
# 地图追加该aruco码
aruco_map[aruco_id] = aruco_pose
# 绘制当前的aruco码
draw_single_marker(aruco_id, aruco_pose, alpha=0.8, height=0.05)
# 序列化保存
with open(package_path + '/data/aruco_map.bin', 'wb') as f:
pickle.dump(aruco_map, f)
# 发布静态TF变换
for aruco_id, pose in aruco_map.items():
send_aruco_static_transform(aruco_id, pose)
# 结束当前的进程
rospy.signal_shutdown('绘制了所有的aruco，并发布了aruco码的TF变换')
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 test_compute_twist(self):
for _ in range(100):
T0 = br.transform.random()
vel = np.random.rand(3)
rot = np.random.rand(3)
kdl_twist = PyKDL.Twist(PyKDL.Vector(*vel), PyKDL.Vector(*rot))
F0 = posemath.fromMatrix(T0)
F1 = PyKDL.addDelta(F0, kdl_twist)
T1 = posemath.toMatrix(F1)
twist = ru.transforms.compute_twist(F0, F1)
np.testing.assert_allclose(twist, np.hstack((vel, rot)))
def update(self, dt=0.0):
# initial pose
T0 = pm.toMatrix(pm.fromMsg(self._odom.pose.pose))
dx = self._cmd_vel.linear
dq = self._cmd_vel.angular
dT = tx.compose_matrix(angles=(dq.x * dt, dq.y * dt, dq.z * dt),
translate=(dx.x * dt, dx.y * dt, dx.z * dt))
T1 = tx.concatenate_matrices(T0, dT)
self._odom.pose.pose = pm.toMsg(pm.fromMatrix(T1))
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 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 __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 __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 GetFwdPoseMsg(self):
msg = PoseArray()
msg.header.frame_id = self.obj_frame
for i in range(len(self.world_states)):
mat = self.kinematics.forward(self.joint_states[i].position[:self.dof])
ee_frame = self.base_tform * pm.fromMatrix(mat)
pmsg = pm.toMsg(ee_frame * PyKDL.Frame(PyKDL.Rotation.RotY(-1*np.pi/2)))
msg.poses.append(pmsg)
#
return msg
def align_pose(self, pose):
objectInCamera = pm.toMatrix(pm.fromMsg(pose))
ModelRecManager.tf_listener.waitForTransform("/world", "/camera_rgb_optical_frame", rospy.Time(0), rospy.Duration(5))
cameraInWorld = pm.toMatrix(pm.fromTf(ModelRecManager.tf_listener.lookupTransform("/world", "/camera_rgb_optical_frame",rospy.Time(0))))
objectInWorld = dot(cameraInWorld, objectInCamera)
"""45 degrees rotated around z axis"""
objectInWorld[0:3,0:3] = mat([[0.7071,-0.7071,0],
[0.7071,0.7071,0],
[0,0,1]]);
worldInCamera = linalg.inv(cameraInWorld)
objectInCameraModified = dot(worldInCamera, objectInWorld)
return pm.toMsg(pm.fromMatrix(objectInCameraModified))
def get_des_twist(self, dT=0.01):
""" Get desired twist @ time t, by computing differential of traj_frame @ t=T-1 and t=T
"""
#_cur_frame = self.get_current_frame()
#return PyKDL.diff(self.prev_frame, _cur_frame, dT)
#
#
if self.btn_state_2 == 1:
b_T_saw0 = pm.toMatrix(self.cur_frame)
b_T_vr0 = pm.toMatrix(self._frame2)
self.vr0_T_saw0 = np.matmul(inv(b_T_vr0),
b_T_saw0) # numpy 4x4 array
# else:
# self.vr0_T_saw0 = np.identity(4)
self._frame2 = pm.fromMatrix(
np.matmul(self.vr0_T_saw0, pm.toMatrix(self._frame2)))
self._frame1 = pm.fromMatrix(
np.matmul(self.vr0_T_saw0, pm.toMatrix(self._frame1)))
return PyKDL.diff(self._frame1, self._frame2, dT)
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 publish_true_object_tran(height):
"""@brief - A debugging function to visualize the origin of the objects
in from openrave in the scene graph.
@param height - the offset from the table to the origin of the object.
"""
try:
object_height_offset = eye(4)
object_height_offset[2,3] = height
object_height_tf = pm.toTf(pm.fromMatrix(object_height_offset))
bc = tf.TransformBroadcaster()
bc.sendTransform(object_height_tf[0], object_height_tf[1], rospy.Time.now(), "/true_obj_pose", "/object")
except Exception,e:
rospy.logwarn("failed to publish true object height: %s"%e)
return []
def transfrom_between_arucos(camera2ai, camera2aj):
'''
计算arucos之间的转换
换算成以 aruco i为参考坐标系 对应arucoj的姿态
'''
# 获取以相机为世界坐标系下的码j的位姿
camera2aj_mat = pm.toMatrix(camera2aj)
# 获取以码i做世界坐标系下的相机的位姿
ai2camera_mat = pm.toMatrix(camera2ai.Inverse())
# 计算aj在ai下的位姿 位姿传递
ai2aj_mat = ai2camera_mat.dot(camera2aj_mat)
# 生成码j在码i坐标系下的位姿 对应的KDL Frame对象
ai2aj_frame = pm.fromMatrix(ai2aj_mat)
# 返回对象
return pm.toMsg(ai2aj_frame)
def model_state_publisher(self):
#############
targetFrame = PyKDL.Frame(PyKDL.Rotation.Quaternion(self.target.pose.orientation.x,self.target.pose.orientation.y,self.target.pose.orientation.z,self.target.pose.orientation.w), PyKDL.Vector(self.target.pose.position.x,self.target.pose.position.y,self.target.pose.position.z))
targetFrameMatrix = pm.toMatrix(targetFrame)
sourceFrame = PyKDL.Frame(PyKDL.Rotation.Quaternion(self.source.pose.orientation.x,self.source.pose.orientation.y,self.source.pose.orientation.z,self.source.pose.orientation.w),PyKDL.Vector(self.source.pose.position.x,self.source.pose.position.y,self.source.pose.position.z))
pose = pm.toMsg(pm.fromMatrix(linalg.inv(targetFrameMatrix))*sourceFrame)
poseStamped = PoseStamped()
poseStamped.pose = pose
poseStamped.header.stamp = rospy.get_rostime()
poseStamped.header.frame_id = '/'+self.targetLinkName[5:len(self.targetLinkName)] # This strips 'pr2::' from the frame_id string
self.wPub.publish(poseStamped)
def align_pose(self, pose):
objectInCamera = pm.toMatrix(pm.fromMsg(pose))
ModelRecManager.tf_listener.waitForTransform(
"/world", "/camera_rgb_optical_frame", rospy.Time(0),
rospy.Duration(5))
cameraInWorld = pm.toMatrix(
pm.fromTf(
ModelRecManager.tf_listener.lookupTransform(
"/world", "/camera_rgb_optical_frame", rospy.Time(0))))
objectInWorld = dot(cameraInWorld, objectInCamera)
"""45 degrees rotated around z axis"""
objectInWorld[0:3, 0:3] = mat([[0.7071, -0.7071, 0],
[0.7071, 0.7071, 0], [0, 0, 1]])
worldInCamera = linalg.inv(cameraInWorld)
objectInCameraModified = dot(worldInCamera, objectInWorld)
return pm.toMsg(pm.fromMatrix(objectInCameraModified))
def publish_true_object_tran(height):
"""@brief - A debugging function to visualize the origin of the objects
in from openrave in the scene graph.
@param height - the offset from the table to the origin of the object.
"""
try:
object_height_offset = eye(4)
object_height_offset[2, 3] = height
object_height_tf = pm.toTf(pm.fromMatrix(object_height_offset))
bc = tf.TransformBroadcaster()
bc.sendTransform(object_height_tf[0], object_height_tf[1],
rospy.Time.now(), "/true_obj_pose", "/object")
except Exception, e:
rospy.logwarn("failed to publish true object height: %s" % e)
return []
def detach(self, object_name="", actuate = True, add_back_to_planning_scene = True):
if actuate:
# detach the collision object to the gripper
self.gripper_open.call()
# self.planning_group.detachObject(object_name, self.end_link)
self.planning_scene_publisher = rospy.Publisher('planning_scene', PlanningScene, queue_size=100)
planning_scene_diff = PlanningScene(is_diff=True)
T_fwd = pm.fromMatrix(self.kdl_kin.forward(self.q0))
# get the actual collision obj from planning scene
res = self.get_planning_scene(components=
PlanningSceneComponents(components=PlanningSceneComponents.ROBOT_STATE_ATTACHED_OBJECTS))
all_objects = res.scene.robot_state.attached_collision_objects
for col_obj in all_objects:
rospy.logwarn(str(object_name)+", "+str(col_obj.link_name)+", "+str(col_obj.object.id))
# remove from attached objects
diff_obj = AttachedCollisionObject(
link_name=self.end_link,
object=CollisionObject(id=col_obj.object.id))
diff_obj.object.operation = CollisionObject.REMOVE
planning_scene_diff.robot_state.attached_collision_objects.append(diff_obj)
if add_back_to_planning_scene:
# add into planning scene
add_object = col_obj.object
add_object.header.frame_id = self.base_link
add_object.operation = CollisionObject.ADD
for index, mesh_pose in enumerate(col_obj.object.mesh_poses):
add_object.mesh_poses[index] = pm.toMsg(T_fwd * pm.fromMsg(mesh_pose))
planning_scene_diff.world.collision_objects.append(add_object)
# if col_obj.id == object_name:
# detach_object = col_obj
# break
# remove object from the gripper, then add the original collision object
# detach_object = AttachedCollisionObject()
# detach_object.object.id = object_name
# detach_object.link_name = self.end_link
# detach_object.object.operation = detach_object.object.REMOVE
# planning_scene_diff.robot_state.attached_collision_objects.append(copy.deepcopy(detach_object));
# add_object = CollisionObject()
self.planning_scene_publisher.publish(planning_scene_diff)
def get_err_twist(self, goal_frame=None, dT=0.01):
""" Get the desirable twist for given error.
"""
#_cur_frame = self.get_current_frame()
if self.btn_state_2 == 1:
b_T_saw0 = pm.toMatrix(self.cur_frame)
b_T_vr0 = pm.toMatrix(self._frame2)
self.vr0_T_saw0 = np.matmul(inv(b_T_vr0),
b_T_saw0) # numpy 4x4 array
# else:
# self.vr0_T_saw0 = np.identity(4)
self._frame2 = pm.fromMatrix(
np.matmul(self.vr0_T_saw0, pm.toMatrix(self._frame2)))
return PyKDL.diff(self.cur_frame, self._frame2, dT)
def detach(self, object_name="", actuate = True, add_back_to_planning_scene = True):
if actuate:
# detach the collision object to the gripper
self.gripper_open.call()
# self.planning_group.detachObject(object_name, self.end_link)
self.planning_scene_publisher = rospy.Publisher('planning_scene', PlanningScene, queue_size=100)
planning_scene_diff = PlanningScene(is_diff=True)
T_fwd = pm.fromMatrix(self.kdl_kin.forward(self.q0))
# get the actual collision obj from planning scene
res = self.get_planning_scene(components=
PlanningSceneComponents(components=PlanningSceneComponents.ROBOT_STATE_ATTACHED_OBJECTS))
all_objects = res.scene.robot_state.attached_collision_objects
for col_obj in all_objects:
rospy.logwarn(str(object_name)+", "+str(col_obj.link_name)+", "+str(col_obj.object.id))
# remove from attached objects
diff_obj = AttachedCollisionObject(
link_name=self.end_link,
object=CollisionObject(id=col_obj.object.id))
diff_obj.object.operation = CollisionObject.REMOVE
planning_scene_diff.robot_state.attached_collision_objects.append(diff_obj)
if add_back_to_planning_scene:
# add into planning scene
add_object = col_obj.object
add_object.header.frame_id = self.base_link
add_object.operation = CollisionObject.ADD
for index, mesh_pose in enumerate(col_obj.object.mesh_poses):
add_object.mesh_poses[index] = pm.toMsg(T_fwd * pm.fromMsg(mesh_pose))
planning_scene_diff.world.collision_objects.append(add_object)
# if col_obj.id == object_name:
# detach_object = col_obj
# break
# remove object from the gripper, then add the original collision object
# detach_object = AttachedCollisionObject()
# detach_object.object.id = object_name
# detach_object.link_name = self.end_link
# detach_object.object.operation = detach_object.object.REMOVE
# planning_scene_diff.robot_state.attached_collision_objects.append(copy.deepcopy(detach_object));
# add_object = CollisionObject()
self.planning_scene_publisher.publish(planning_scene_diff)
def convert_cartesian_relative_goal(global_data, move_tran):
"""@brief - Convert a position relative to the hand's current coordinate system to the robot's base coordinate system.
@param move_tran - the relative position in the hand's coordinate system.
"""
try:
move_tf = pm.toTf(pm.fromMatrix(move_tran))
print move_tf
bc = tf.TransformBroadcaster()
now = rospy.Time.now()
bc.sendTransform(move_tf[0], move_tf[1], now, "hand_goal", "hand")
#listener = tf.TransformListener()
global_data.listener.waitForTransform("armbase", "arm_goal", now, rospy.Duration(1.0))
armtip_robot = global_data.listener.lookupTransform('armbase','arm_goal', now)
#arm_robot = global_data.listener.lookupTransform('armbase', 'arm', now)
return pm.toMatrix(pm.fromTf(armtip_robot))
except Exception, e:
handle_fatal('convert_cartesian_relative_goal failed: error %s.'%e)
def compute(self, world, state):
'''
Compute LfD features
'''
if state.reference is not None:
ee = pm.fromMatrix(self.kdl_kin.forward(state.q))
if state.gripper_closed:
gripper = 1.
else:
gripper = 0.
f = np.array(
self.features.GetFeatures(ee,
state.seq / len(state.traj.points),
world.observation,
['time', state.reference.goal],
gripper))
return f
else:
return None
def convert_cartesian_world_goal(global_data, world_tran):
"""@brief - Get armtip goal pose in the arms coordinate system from hand world goal pose.
This is useful to convert between a hand goal in the world coordinate system to a cartesian goal that
can be sent directly to the staubli controller.
@param world_tf - tf of hand goal pose in world coordinates
"""
try:
world_tf = pm.toTf(pm.fromMatrix(world_tran))
bc = tf.TransformBroadcaster()
now = rospy.Time.now()
bc.sendTransform(world_tf[0], world_tf[1], now, "hand_goal", "world")
#listener = tf.TransformListener()
global_data.listener.waitForTransform("armbase", "arm_goal", now, rospy.Duration(1.0))
armtip_robot = global_data.listener.lookupTransform('armbase', 'arm_goal', now)
return pm.toMatrix(pm.fromTf(armtip_robot))
except Exception, e:
handle_fatal('convert_cartesian_world_goal failed: error %s.'%e)
def visualizePlan(self, plan):
'''
Debug tool: print poses associated with a set of plans to a message and
publish this message.
'''
actor = self.actors[plan.actor_id]
msg = PoseArray()
msg.header.frame_id = actor.base_link
if plan.actor_id is not 0:
raise NotImplementedError(
'kdl kinematics only created for actor 0 right now')
# Show a trajectory of task plans.
for node in plan.nodes:
for state, action in node.traj:
T = self.lfd.kdl_kin.forward(state.q)
msg.poses.append(pm.toMsg(pm.fromMatrix(T)))
self.plan_pub.publish(msg)
def convert_cartesian_relative_goal(global_data, move_tran):
"""@brief - Convert a position relative to the hand's current coordinate system to the robot's base coordinate system.
@param move_tran - the relative position in the hand's coordinate system.
"""
try:
move_tf = pm.toTf(pm.fromMatrix(move_tran))
print move_tf
bc = tf.TransformBroadcaster()
now = rospy.Time.now()
bc.sendTransform(move_tf[0], move_tf[1], now, "hand_goal", "hand")
#listener = tf.TransformListener()
global_data.listener.waitForTransform("armbase", "arm_goal", now,
rospy.Duration(1.0))
armtip_robot = global_data.listener.lookupTransform(
'armbase', 'arm_goal', now)
#arm_robot = global_data.listener.lookupTransform('armbase', 'arm', now)
return pm.toMatrix(pm.fromTf(armtip_robot))
except Exception, e:
handle_fatal('convert_cartesian_relative_goal failed: error %s.' % e)
def Rot_k_phi(self, k_vec, phi): #Eigen::Vector3d k_vec,float phi #Eigen::Matrix3d R_k_phi; kx = k_vec[0] ky = k_vec[1] kz = k_vec[2] N = 3 K_nrow = Vector(0.0, -kz, ky) K_trow = Vector(kz, 0.0, -kx) K_brow = Vector(-ky, kx, 0.0) K = Rotation(K_nrow,K_trow,K_brow) I = Rotation() K_Frame = Frame(K) K_Frame_numpy = posemath.toMatrix(K_Frame) K_numpy = K_Frame_numpy[0:3,0:3] I_numpy = np.identity(N) R_k_phi_numpy = I_numpy + math.sin(phi)*K_numpy + (1-math.cos(phi))*K_numpy*K_numpy R_k_phi_numpy_FrameTemp = np.c_[R_k_phi_numpy, np.ones(N)] R_k_phi_numpy_Frame = np.r_[R_k_phi_numpy_FrameTemp,[R_k_phi_numpy_FrameTemp[1]]] R_k_phi_Frame = posemath.fromMatrix(R_k_phi_numpy_Frame) R_k_phi = R_k_phi_Frame.M return R_k_phi
def process_grasp_msg(self, grasp_msg):
"""@brief - Attempt to make the adjustment specified by grasp_msg
1. plan a path to the a place 15cm back from the new pose
"""
print 'regular move:'
print grasp_msg
#release the object
tp.open_barrett()
#get the robot's current location and calculate the absolute tran after the adjustment
#update the robot status
tp.update_robot(self.global_data.or_env.GetRobots()[0])
handGoalInBase = pm.toMatrix(pm.fromMsg(grasp_msg.final_grasp_pose))
try:
hand_tf = pm.toTf(pm.fromMatrix(handGoalInBase))
bc = tf.TransformBroadcaster()
now = rospy.Time.now()
bc.sendTransform(hand_tf[0], hand_tf[1], now, "hand_goal", "armbase")
self.global_data.listener.waitForTransform("armbase", "arm_goal", now, rospy.Duration(1.0))
armtip_robot = self.global_data.listener.lookupTransform('armbase', 'arm_goal', now)
armGoalInBase = pm.toMatrix(pm.fromTf(armtip_robot))
except Exception, e:
handle_fatal('convert_cartesian_world_goal failed: error %s.'%e)
def set_goal(self,q):
self.at_goal = False
self.near_goal = False
self.goal = pm.fromMatrix(self.kdl_kin.forward(q))
rospy.wait_for_service('getCartesian')
try:
get_cartesian = rospy.ServiceProxy( 'getCartesian', staubli_tx60.srv.GetCartesian )
resp1 = get_cartesian()
# make srv x y z rx ry rz euler angle representation into pose message
pos = geometry_msgs.msg.Point( x = resp1.x, y = resp1.y, z = resp1.z )
q = tf.transformations.quaternion_from_euler( resp1.rx , resp1.ry, resp1.rz ,'rxyz' )
quat = geometry_msgs.msg.Quaternion( x = q[0], y = q[1], z = q[2], w = q[3] )
return geometry_msgs.msg.Pose( position = pos, orientation = quat )
except rospy.ServiceException, e:
print "Service call failed: %s"%e
return []
def get_staubli_cartesian_as_tran():
current_pose = get_staubli_cartesian_as_pose_msg()
return pm.toMatrix(pm.fromMsg(current_pose))
rospy.init_node('arm_position_publisher')
tf_publisher = tf.TransformBroadcaster()
loop = rospy.Rate(3.0)
while not rospy.is_shutdown():
t = get_staubli_cartesian_as_tran()
t_tf = pm.toTf(pm.fromMatrix(t))
tf_publisher.sendTransform(t_tf[0], t_tf[1], rospy.Time.now(),"/arm","/armbase")
loop.sleep()
def write_needle_drive_affines_to_file(self, gripper_affines_wrt_camera):
nposes = len(gripper_affines_wrt_camera)
if (nposes<1):
rospy.logwarn("NO POSES TO SAVE")
return
str1 = "saving computer %d gripper poses w/rt camera"%nposes
rospy.loginfo(str1)
affine_gripper1_frame_wrt_camera_last = gripper_affines_wrt_camera[nposes-1]
affine_needle_frame_wrt_camera_last = affine_gripper1_frame_wrt_camera_last*self.affine_needle_frame_wrt_gripper_frame_
affine_needle_frame_wrt_camera_last_numpy = posemath.toMatrix(affine_needle_frame_wrt_camera_last)
affine_needle_frame_wrt_camera_last_numpy_R = affine_needle_frame_wrt_camera_last_numpy[0:3,0:3]
'''BELOW do rest of the calculations with numpy array to prevent data type mismatch
and convert to PyKDL at the end'''
nvec_needle = affine_needle_frame_wrt_camera_last_numpy_R[0:,0]
bvec_needle = affine_needle_frame_wrt_camera_last_numpy_R[0:,2]
origin_needle = affine_needle_frame_wrt_camera_last.p
origin_needle_numpy = np.array([origin_needle.x(),origin_needle.y(),origin_needle.z()])
tip_of_needle_numpy = origin_needle_numpy + self.needle_radius_*nvec_needle
gripper2_grasp_origin_numpy = tip_of_needle_numpy + self.grasp_depth_*bvec_needle
gripper2_pre_grasp_origin_numpy = gripper2_grasp_origin_numpy - 0.03*bvec_needle
gripper2_out_of_way_numpy = np.array([0.0, 0.0, -0.02])
N = 3
R2_diag_numpy = np.identity(N)
R2_diag_numpy[2,2] = -1
R2_diag_numpy[1,1] = -1
print "R2_diag:"
print R2_diag_numpy
R2_diag_numpy_FrameTemp = np.c_[R2_diag_numpy, np.ones(N)]
R2_diag_numpy_Frame = np.r_[R2_diag_numpy_FrameTemp,[R2_diag_numpy_FrameTemp[1]]]
R2_diag_Frame = posemath.fromMatrix(R2_diag_numpy_Frame)
'''BELOW numpy ends here - switch back to PyKDL BELOW'''
R2_diag = R2_diag_Frame.M
gripper2_out_of_way = Vector(gripper2_out_of_way_numpy[0],gripper2_out_of_way_numpy[1],gripper2_out_of_way_numpy[2])
psm2_nom_wrt_base2 = Frame(R2_diag,gripper2_out_of_way)
print "affine_lcamera_to_psm_two_: "
print self.default_affine_lcamera_to_psm_two_.M
print "origin: "
print self.default_affine_lcamera_to_psm_one_.p
psm2_nom_wrt_camera = self.default_affine_lcamera_to_psm_two_*psm2_nom_wrt_base2
print "psm2_nom_wrt_camera: "
print psm2_nom_wrt_camera.M
print "origin: "
print psm2_nom_wrt_camera.p
'''BELOW switch back to numpy BELOW '''
psm2_nom_wrt_camera_numpy = posemath.toMatrix(psm2_nom_wrt_camera)
psm2_nom_wrt_camera_numpy_R = psm2_nom_wrt_camera_numpy[0:3,0:3]
nvec_gripper2 = psm2_nom_wrt_camera_numpy_R[0:,0]
tvec_gripper2 = psm2_nom_wrt_camera_numpy_R[0:,1]
bvec_gripper2 = psm2_nom_wrt_camera_numpy_R[0:,2]
gripper2_out_of_way_wrt_camera = psm2_nom_wrt_camera.p
t = 4
dt = 1
outfile = open('gripper_poses_in_camera_coords.csp','w')
for i in range(nposes):
gripper_affines_wrt_camera_this = gripper_affines_wrt_camera[i]
#Origin = gripper_affines_wrt_camera_this.p
#R = gripper_affines_wrt_camera_this.M
gripper_numpy = posemath.toMatrix(gripper_affines_wrt_camera_this)
R = gripper_numpy[0:3,0:3]
Origin = gripper_numpy[0:3,3]
outfile.write(str("%0.3f"%Origin[0]) + ', ' + str("%0.3f"%Origin[1]) + ', ' + str("%0.3f"%Origin[2]) + ', ')
nvec = R[0:,0]
tvec = R[0:,1]
bvec = R[0:,2]
outfile.write(str("%0.3f"%nvec[0]) + ', ' + str("%0.3f"%nvec[1]) + ', ' + str("%0.3f"%nvec[2]) + ', ')
outfile.write(str("%0.3f"%bvec[0]) + ', ' + str("%0.3f"%bvec[1]) + ', ' + str("%0.3f"%bvec[2]) + ', 0, ')
outfile.write(str("%0.3f"%gripper2_out_of_way_wrt_camera.x()) + ', ' + str("%0.3f"%gripper2_out_of_way_wrt_camera.y()) + ', ' + str("%0.3f"%gripper2_out_of_way_wrt_camera.z()) + ' ')
outfile.write(str("%0.3f"%nvec_gripper2[0]) + ', ' + str("%0.3f"%nvec_gripper2[1]) + ', ' + str("%0.3f"%nvec_gripper2[2]) + ', ')
outfile.write(str("%0.3f"%bvec_gripper2[0]) + ', ' + str("%0.3f"%bvec_gripper2[1]) + ', ' + str("%0.3f"%bvec_gripper2[2]) + ', 0.0 ' + str("%0.2f"%t) + '\n')
t+=dt
outfile.close()
rospy.loginfo("wrote gripper motion plan to file gripper_poses_in_camera_coords,csp")
def Rot_k_phi(self, k_vec, phi): #Eigen::Vector3d k_vec,float phi #Eigen::Matrix3d R_k_phi; kx = k_vec[0] ky = k_vec[1] kz = k_vec[2] #K_nrow = Vector(0.0, -kz, ky) #K_trow = Vector(kz, 0.0, -kx) #K_brow = Vector(-ky, kx, 0.0) N = 3 K = Rotation(0.0,-kz,ky, kz,0.0,-kx, -ky,kx,0.0) Ksquare = K*K I = Rotation() K_Frame = Frame(K) K_Frame_numpy = posemath.toMatrix(K_Frame) K_numpy = K_Frame_numpy[0:3,0:3] I_numpy = np.identity(N) K_square_Frame = Frame(Ksquare) K_square_Frame_numpy = posemath.toMatrix(K_square_Frame) K_square_numpy = K_square_Frame_numpy[0:3,0:3] #R_k_phi_numpy = I_numpy + math.sin(phi)*K_numpy + (1-math.cos(phi))*K_numpy*K_numpy #R_k_phi_numpy_FrameTemp = np.c_[R_k_phi_numpy, np.ones(N)] #R_k_phi_numpy_Frame = np.r_[R_k_phi_numpy_FrameTemp,[R_k_phi_numpy_FrameTemp[1]]] #R_k_phi_Frame = posemath.fromMatrix(R_k_phi_numpy_Frame) #R_k_phi = R_k_phi_Frame.M R_k_phi_numpy_square = I_numpy + math.sin(phi)*K_numpy + (1-math.cos(phi))*K_square_numpy R_k_phi_numpy_FrameTemp_square = np.c_[R_k_phi_numpy_square, np.ones(N)] R_k_phi_numpy_Frame_square = np.r_[R_k_phi_numpy_FrameTemp_square,[R_k_phi_numpy_FrameTemp_square[1]]] R_k_phi_Frame_square = posemath.fromMatrix(R_k_phi_numpy_Frame_square) R_k_phi_square = R_k_phi_Frame_square.M if(debug_needle_print): print "K",K print "Ksquare",Ksquare print "K_Frame",K_Frame print "K_Frame_numpy",K_Frame_numpy print "K_numpy",K_numpy print "K_square_Frame",K_square_Frame print "K_square_Frame_numpy",K_square_Frame_numpy print "math.sin(phi)",(math.sin(phi)) print "math.sin(phi)",(math.sin(phi)) print "1-math.cos(phi)",(1-math.cos(phi)) print "K_numpy*K_numpy",K_numpy*K_numpy print "R_k_phi_numpy",R_k_phi_numpy print "R_k_phi_numpy_FrameTemp",R_k_phi_numpy_FrameTemp print "R_k_phi_numpy_Frame",R_k_phi_numpy_Frame print "R_k_phi_Frame",R_k_phi_Frame print "R_k_phi",R_k_phi print "R_k_phi_numpy_square",R_k_phi_numpy_square print "R_k_phi_numpy_FrameTemp_square",R_k_phi_numpy_FrameTemp_square print "R_k_phi_numpy_Frame_square",R_k_phi_numpy_Frame_square print "R_k_phi_Frame_square",R_k_phi_Frame_square print "R_k_phi_square",R_k_phi_square return R_k_phi_square
def getCartesianMove(self, frame, q0,
base_steps=1000,
steps_per_meter=1000,
steps_per_radians = 4,
time_multiplier=1,
percent_acc=1,
use_joint_move = False,
table_frame = None):
if table_frame is not None:
if frame.p[2] < table_frame[0][2]:
rospy.logerr("Ignoring move to waypoint due to relative z: %f < %f"%(frame.p[2],table_frame[0][2]))
return JointTrajectory()
if q0 is None:
rospy.logerr("Invalid initial joint position in getCartesianMove")
return JointTrajectory()
# interpolate between start and goal
pose = pm.fromMatrix(self.kdl_kin.forward(q0))
cur_rpy = np.array(pose.M.GetRPY())
cur_xyz = np.array(pose.p)
goal_rpy = np.array(frame.M.GetRPY())
goal_xyz = np.array(frame.p)
delta_rpy = np.linalg.norm(goal_rpy - cur_rpy)
delta_translation = (pose.p - frame.p).Norm()
if delta_rpy < 0.001 and delta_translation < 0.001:
rospy.logwarn("Robot is already in the goal position.")
return JointTrajectory(points=[JointTrajectoryPoint(positions=q0,
velocities=[0]*len(q0),
accelerations=[0]*len(q0),
time_from_start=rospy.Duration(0.0))],
joint_names = self.joint_names)
q_target = self.ik(pm.toMatrix(frame),q0)
if q_target is None:
rospy.logerr("No IK solution on cartesian move target")
return JointTrajectory()
else:
if np.any(
np.greater(
np.absolute(q_target[:2] - np.array(q0[:2])), np.pi/2)) \
or np.absolute(q_target[3] - q0[3]) > np.pi:
rospy.logerr("Dangerous IK solution, abort getCartesianMove")
return JointTrajectory()
dq_target = q_target - np.array(q0)
if np.sum(np.absolute(dq_target)) < 0.0001:
rospy.logwarn("Robot is already in the goal position.")
return JointTrajectory(points=[JointTrajectoryPoint(positions=q0,
velocities=[0]*len(q0),
accelerations=[0]*len(q0),
time_from_start=rospy.Duration(0.0))],
joint_names = self.joint_names)
steps, t_v_const_step, t_v_setting_max, steps_to_max_speed, const_velocity_max_step = self.calculateAccelerationProfileParameters(dq_target,
base_steps,
steps_per_meter,
steps_per_radians,
delta_translation,
time_multiplier,
self.acceleration_magnification * percent_acc)
traj = JointTrajectory()
traj.points.append(JointTrajectoryPoint(positions=q0,
velocities=[0]*len(q0),
accelerations=[0]*len(q0)))
# Compute a smooth trajectory.
for i in range(1,steps + 1):
xyz = None
rpy = None
q = None
if not use_joint_move:
xyz = cur_xyz + ((float(i)/steps) * (goal_xyz - cur_xyz))
rpy = cur_rpy + ((float(i)/steps) * (goal_rpy - cur_rpy))
# Create transform for goal frame
frame = pm.toMatrix(
kdl.Frame(
kdl.Rotation.RPY(
rpy[0],
rpy[1],
rpy[2]),
kdl.Vector(
xyz[0],
xyz[1],
xyz[2])))
# Use current inverse kinematics solver with current position
q = self.ik(frame, q0)
else:
q = np.array(q0) + (float(i)/steps) * dq_target
q = q.tolist()
#q = self.kdl_kin.inverse(frame,q0)
if self.verbose:
print "%d -- %s %s = %s"%(i,str(xyz),str(rpy),str(q))
if q is not None:
total_time = self.calculateTimeOfTrajectoryStep(i,
steps_to_max_speed,
const_velocity_max_step,
t_v_const_step,
t_v_setting_max)
# Compute the distance to the last point for each joint. We use this to compute our joint velocities.
dq_i = np.array(q) - np.array(traj.points[-1].positions)
if np.sum(np.abs(dq_i)) < self.skip_tol:
rospy.logwarn("Joint trajectory point %d is repeating previous trajectory point. "%i)
continue
traj.points[i-1].velocities = (dq_i)/(total_time - traj.points[i-1].time_from_start.to_sec())
pt = JointTrajectoryPoint(positions=q,
velocities=[0]*len(q),
accelerations=[0]*len(q))
pt.time_from_start = rospy.Duration(total_time)
# pt.time_from_start = rospy.Duration(i * ts)
traj.points.append(pt)
else:
rospy.logwarn("No IK solution on one of the trajectory point to cartesian move target")
if len(traj.points) < base_steps:
print rospy.logerr("Planning failure with " \
+ str(len(traj.points)) \
+ " / " + str(base_steps) \
+ " points.")
return JointTrajectory()
traj.joint_names = self.joint_names
return traj
def integrate_pose(pseudo_frame_as_pose, target_pose):
return pm.toMsg(pm.fromMatrix( numpy.dot(pm.toMatrix(pm.fromMsg(pseudo_frame_as_pose)), pm.toMatrix(pm.fromMsg(target_pose))) ))
def interPoseDistance(p1, p2):
r = p1.I*p2;
rMsg = pm.toMsg(pm.fromMatrix(r))
angleDistance = abs(math.acos(rMsg.orientation.w))
positionDistance = linalg.norm(p1[0:3,3] - p2[0:3,3])
return angleDistance + positionDistance
def execute(self, userdata):
sss.set_light("blue")
wi = WorldInterface()
wi.reset_attached_objects()
graspdata = dict()
print userdata.object
# add wall
wall_extent = [3.0, 0.1, 2.5]
wall_pose = conversions.create_pose_stamped(
[0, -0.99 - wall_extent[1], wall_extent[2] / 2.0, 0, 0, 0, 1], "base_link"
) # magic numbers are cool
wi.add_collision_box(wall_pose, wall_extent, "wall")
# add floor
floor_extent = [3.0, 3.0, 0.1]
floor_pose = conversions.create_pose_stamped(
[0, 0, floor_extent[2] / 2.0, 0, 0, 0, 1], "/base_link"
) # magic numbers are cool
wi.add_collision_box(floor_pose, floor_extent, "floor")
# transform into base_link
grasp_pose = transform_listener.transform_pose_stamped("base_link", userdata.object.pose, use_most_recent=False)
# add object bounding box
obj_pose = deepcopy(grasp_pose)
lwh = userdata.object.bounding_box_lwh
m1 = pm.toMatrix(pm.fromMsg(obj_pose.pose))
m2 = pm.toMatrix(pm.fromTf(((0, 0, lwh.z / 2.0), (0, 0, 0, 1))))
obj_pose.pose = pm.toMsg(pm.fromMatrix(numpy.dot(m1, m2)))
wi.add_collision_box(obj_pose, (lwh.x * 2.0, lwh.y * 2.0, lwh.z), "grasp_object")
print grasp_pose
# add table
table_extent = (2.0, 2.0, grasp_pose.pose.position.z)
table_pose = conversions.create_pose_stamped(
[-0.5 - table_extent[0] / 2.0, 0, table_extent[2] / 2.0, 0, 0, 0, 1], "base_link"
)
wi.add_collision_box(table_pose, table_extent, "table")
# calculate grasp and lift pose
grasp_pose.pose.position.x += 0.02
grasp_pose.pose.position.y += 0.02
grasp_pose.pose.position.z += 0.1 # 0.03 + 0.05
grasp_pose.pose.orientation = Quaternion(
*quaternion_from_euler(-1.706, 0.113, 2.278)
) # orientation of sdh_grasp_link in base_link for 'grasp' joint goal
graspdata["height"] = grasp_pose.pose.position.z - table_extent[2]
pregrasp_pose = deepcopy(grasp_pose)
pregrasp_pose.pose.position.x += 0.20
pregrasp_pose.pose.position.y += 0.11
pregrasp_pose.pose.position.z += 0.1
lift_pose = deepcopy(grasp_pose)
lift_pose.pose.position.z += 0.03
mp = MotionPlan()
# open hand
mp += CallFunction(sss.move, "sdh", "cylopen", False)
mp += MoveArm("arm", [pregrasp_pose, ["sdh_grasp_link"]], seed="pregrasp")
mp += MoveComponent("sdh", "cylopen", True)
# allow collison hand/object
# for l in hand_description.HandDescription('arm').touch_links:
# mp += EnableCollision("grasp_object", l)
#
# disable collison
# mp += ResetCollisions()
# goto grasp
mp += MoveArmUnplanned("arm", [grasp_pose, ["sdh_grasp_link"]])
# close hand
mp += MoveComponent("sdh", "cylclosed")
# check grasp
# mp += CheckService('/sdh_controller/is_cylindric_grasped', Trigger, lambda res: res.success.data)
# attach object
mp += AttachObject("arm", "grasp_object")
# enable collision
mp += EnableCollision("grasp_object", "table")
# lift motion
mp += MoveArmUnplanned("arm", [lift_pose, ["sdh_grasp_link"]])
# disable collison
mp += ResetCollisions()
# move away
mp += MoveArm("arm", [pregrasp_pose, ["sdh_grasp_link"]])
# goto hold
mp += MoveArm("arm", "hold")
userdata.graspdata = graspdata
if not mp.plan(5).success:
sss.set_light("green")
return "not_grasped"
sss.set_light("yellow")
sss.say(["I am grasping " + userdata.object.label + " now."], False)
# run, handle errors
i = 0
for ex in mp.execute():
if not ex.wait(80.0).success:
sss.set_light("red")
return "failed"
i += 1
sss.set_light("green")
return "grasped"
def query(self, req, disable_target_object_collision = False):
# Get the best object to manipulate, just like smart move, but without the actual movement
# This will check robot collision and reachability on all possible object grasp position based on its symmetry.
# Then, it will returns one of the best symmetry to work with for grasp and release.
# it will be put on parameter server
# Find possible poses
res = self.get_waypoints_srv.get_waypoints(
req.obj_class, # object class to move to
req.predicates, # predicates to match
[req.pose], # offset/transform from each member of the class
[req.name], # placeholder name
req.constraints,
)
if res is None:
# no poses found that meet the query!
rospy.logerr("No waypoints found for query")
return []
(poses,names,objects) = res
if poses is None:
rospy.logerr("No poses found for query")
return []
selected_objs, selected_names = [], []
dists = []
Ts = []
if self.q0 is None:
rospy.logerr("Robot state has not yet been received!")
return "FAILURE -- robot state not yet received!"
T_fwd = pm.fromMatrix(self.kdl_kin.forward(self.q0))
number_of_valid_query_poses, number_of_invalid_query_poses = 0, 0
for (pose,name,obj) in zip(poses,names,objects):
# figure out which tf frame we care about
tf_path = name.split('/')
tf_frame = ''
for part in tf_path:
if len(part) > 0:
tf_frame = part
break
if len(tf_frame) == 0:
continue
# try to move to the pose until one succeeds
T_base_world = pm.fromTf(self.listener.lookupTransform(self.world,self.base_link,rospy.Time(0)))
T = T_base_world.Inverse()*pm.fromMsg(pose)
# Ignore anything below the table: we don't need to even bother
# checking that position.
if self.table_pose is not None:
if T.p[2] < self.table_pose[0][2]:
rospy.logwarn("[QUERY] Ignoring due to relative z: %f < %f x=%f y=%f %s"%(T.p[2],self.table_pose[0][2],T.p[0],T.p[1], obj))
continue
dist_from_table = (T.p - pm.Vector(*self.table_pose[0])).Norm()
if dist_from_table > self.max_dist_from_table:
rospy.logwarn("[QUERY] Ignoring due to table distance: %f > %f"%(
dist_from_table,
self.max_dist_from_table))
continue
# Get metrics for the best distance to a matching objet
valid_pose, best_dist, best_invalid, message_print, message_print_invalid, best_q = self.get_best_distance(T,T_fwd,self.q0, check_closest_only = False, obj_name = obj)
if best_q is None or len(best_q) == 0:
rospy.logwarn("[QUERY] DID NOT ADD:"+message_print)
continue
elif valid_pose:
rospy.loginfo('[QUERY] %s'%message_print)
Ts.append(T)
selected_objs.append(obj)
selected_names.append(name)
dists.append(best_dist)
number_of_valid_query_poses += 1
else:
rospy.loginfo('[QUERY] %s'%message_print_invalid)
Ts.append(T)
selected_objs.append(obj)
selected_names.append(name)
dists.append(best_invalid + self.state_validity_penalty)
number_of_invalid_query_poses += 1
if len(Ts) is not len(dists):
raise RuntimeError('You miscounted the number of transforms somehow.')
if len(Ts) is not len(selected_objs):
raise RuntimeError('You miscounted the number of transforms vs. objects somehow.')
if len(Ts) is not len(selected_names):
raise RuntimeError('You miscounted the number of transforms vs. names somehow.')
if len(Ts) == 0:
possible_goals = []
else:
possible_goals = [(d,T,o,n) for (d,T,o,n) in zip(dists,Ts,selected_objs,selected_names) if T is not None]
possible_goals.sort()
joint = JointState()
# joint.position = self.ik(T,self.q0)
rospy.loginfo("[QUERY] There are %i valid poses and %i invalid poses" %
(number_of_valid_query_poses, number_of_invalid_query_poses))
return possible_goals
def smartmove_multipurpose_gripper(self,
stamp,
possible_goals,
distance,
gripper_function,
velocity,
acceleration,
backup_in_gripper_frame):
'''
Basic function that handles collecting and aggregating smartmoves
'''
list_of_valid_sequence = list()
list_of_invalid_sequence = list()
self.backoff_waypoints = []
if self.q0 is None:
return "FAILURE -- Initial joint position is None"
T_fwd = pm.fromMatrix(self.kdl_kin.forward(self.q0))
for (dist,T,obj,name) in possible_goals:
if not self.valid_verify(stamp):
rospy.logwarn('Stopping action because robot has been preempted by another process,')
return "FAILURE -- Robot has been preempted by another process"
rospy.loginfo("check: " + str(dist) + " " + str(name))
if backup_in_gripper_frame:
backup_waypoint = kdl.Frame(kdl.Vector(-distance,0.,0.))
backup_waypoint = T * backup_waypoint
else:
backup_waypoint = kdl.Frame(kdl.Vector(0.,0.,distance))
backup_waypoint = backup_waypoint * T
self.backoff_waypoints.append(("%s/%s_backoff/%f"%(obj,name,dist),backup_waypoint))
self.backoff_waypoints.append(("%s/%s_grasp/%f"%(obj,name,dist),T))
query_backup_message = ''
if dist < self.state_validity_penalty:
query_backup_message = "valid query's(dist = %.3f) backup msg"%dist
else:
query_backup_message = "invalid query's(dist = %.3f) backup msg"%(dist - self.state_validity_penalty)
valid_pose, best_backup_dist, best_invalid, message_print, message_print_invalid,best_q = self.get_best_distance(backup_waypoint,T_fwd,self.q0, check_closest_only = False, obj_name = obj)
if best_q is None or len(best_q) == 0:
rospy.loginfo('Skipping %s: %s'%(query_backup_message,message_print_invalid))
continue
if valid_pose and dist < self.state_validity_penalty:
list_of_valid_sequence.append((backup_waypoint,T,obj,best_backup_dist,dist,name))
rospy.loginfo('Valid sequence: %s: %s'%(query_backup_message, message_print))
else:
if valid_pose:
rospy.loginfo('Invalid sequence: %s: %s'%(query_backup_message, message_print))
list_of_invalid_sequence.append((backup_waypoint,T,obj,best_backup_dist,dist,name))
else:
rospy.loginfo('Invalid sequence: %s: %s'%(query_backup_message, message_print_invalid))
list_of_invalid_sequence.append((backup_waypoint,T,obj,best_invalid,dist,name))
sequence_to_execute = list()
if len(list_of_valid_sequence) > 0:
sequence_to_execute = list_of_valid_sequence + list_of_invalid_sequence[:5]
else:
rospy.logwarn("WARNING -- no sequential valid grasp action found")
sequence_to_execute = list_of_invalid_sequence[:5]
rospy.loginfo('There is %i valid sequence and %i invalid sequence to try'%(len(list_of_valid_sequence),len(list_of_invalid_sequence)))
# print 'Number of sequence to execute:', len(sequence_to_execute)
msg = None
for sequence_number, (backup_waypoint,T,obj,backup_dist,query_dist,name) in enumerate(sequence_to_execute,1):
rospy.loginfo(str(sequence_number) + " moving to " + str(name))
if not self.valid_verify(stamp):
rospy.logwarn('Stopping action because robot has been preempted by another process,')
return "FAILURE -- Robot has been preempted by another process"
rospy.loginfo("Trying sequence number %i: backup_dist: %.3f query_dist: %.3f"%(sequence_number,backup_dist,query_dist))
# plan to T
rospy.sleep(0.01)
(code,res) = self.planner.getPlan(backup_waypoint,self.q0,obj=None)
if (not res is None) and len(res.planned_trajectory.joint_trajectory.points) > 0:
q_2 = res.planned_trajectory.joint_trajectory.points[-1].positions
(code2,res2) = self.planner.getPlan(T,q_2,obj=obj)
if ((not res2 is None) and len(res2.planned_trajectory.joint_trajectory.points) > 0):
q_3 = res.planned_trajectory.joint_trajectory.points[-1].positions
print(q_2,q_3)
dist = np.linalg.norm(np.array(q_2)-np.array(q_3))
if dist > 2 * backup_dist:
rospy.logwarn("Backoff failed for pose %i: distance was %f vs %f"%(sequence_number,dist,2*backup_dist))
continue
self.info("appoach_%s"%obj, obj)
msg = self.send_and_publish_planning_result(res,stamp,acceleration,velocity)
rospy.sleep(0.1)
if msg[0:7] == 'SUCCESS':
self.info("move_to_grasp_%s"%obj, obj)
msg = self.send_and_publish_planning_result(res2,stamp,acceleration,velocity)
rospy.sleep(0.1)
if msg[0:7] == 'SUCCESS':
self.info("take_%s"%obj, obj)
gripper_function(obj)
traj = res2.planned_trajectory.joint_trajectory
traj.points.reverse()
end_t = traj.points[0].time_from_start
for i, pt in enumerate(traj.points):
pt.velocities = [-v for v in pt.velocities]
pt.accelerations = []
pt.effort = []
pt.time_from_start = end_t - pt.time_from_start
traj.points[0].positions = self.q0
traj.points[-1].velocities = [0.]*len(self.q0)
self.info("backoff_from_%s"%obj, obj)
msg = self.send_and_publish_planning_result(res2,stamp,acceleration,velocity)
return msg
else:
rospy.logwarn("Fail to move to grasp pose in sequence %i" % sequence_number)
else:
rospy.logwarn("Fail to move to backup pose in sequence %i" % sequence_number)
else:
rospy.logwarn("Plan to pose in sequence %i does not work" % sequence_number)
else:
rospy.logwarn("Plan Backoff pose in sequence %i does not work" % sequence_number)
return "FAILURE -- No sequential motions work."
def execute(self, userdata, overwrite_presets = dict()):
presets = self.default_presets
presets.update(overwrite_presets)
sss.set_light('blue')
wi = WorldInterface()
wi.reset_attached_objects()
graspdata = dict()
print userdata.object
print "time difference = ", (rospy.Time.now() - userdata.object.pose.header.stamp).to_sec()
# add wall
wall_extent = [3.0,0.1,2.5]
wall_pose = conversions.create_pose_stamped([ 0, -0.99 - wall_extent[1], wall_extent[2]/2.0 ,0,0,0,1], '/base_link') # magic numbers are cool
wi.add_collision_box(wall_pose, wall_extent, "wall")
# add floor
floor_extent = [3.0,3.0,0.1]
floor_pose = conversions.create_pose_stamped([ 0, 0, floor_extent[2]/2.0 ,0,0,0,1], '/base_link') # magic numbers are cool
wi.add_collision_box(floor_pose, floor_extent, "floor")
#transform into base_link
grasp_pose = transform_listener.transform_pose_stamped('/base_link', userdata.object.pose, use_most_recent=False)
print grasp_pose
# add object bounding box
obj_pose = deepcopy(userdata.object.pose)
lwh = userdata.object.bounding_box_lwh
m1 = pm.toMatrix( pm.fromMsg(obj_pose.pose) )
m2 = pm.toMatrix( pm.fromTf( ((0,0, lwh.z/2.0),(0,0,0,1)) ) )
obj_pose.pose = pm.toMsg( pm.fromMatrix(numpy.dot(m1,m2)) )
wi.add_collision_box(obj_pose,(lwh.x*2.0,lwh.y*2.0,lwh.z) , "grasp_object")
# compute minimal height of object bounding box edges in base_link
min_z = grasp_pose.pose.position.z
for k in [(0.5,0.5,1.0),(0.5,0.5,0.0),(0.5,-0.5,1.0),(0.5,-0.5,0.0),(-0.5,0.5,1.0),(-0.5,0.5,0.0),(-0.5,-0.5,1.0),(-0.5,-0.5,0.0)]:
m1 = pm.toMatrix( pm.fromMsg(grasp_pose.pose) ) # BFromO
m2 = pm.toMatrix( pm.fromTf( ((k[0]*lwh.x,k[1]*lwh.y, k[2]*lwh.z),(0,0,0,1)) ) ) # inO
min_z = min(min_z,pm.toMsg( pm.fromMatrix(numpy.dot(m1,m2))).position.z) #min_z inB
# add table
table_extent = (2.0, 2.0, min_z)
# base_link
# x - points towards front of robot
# y - follow right hand rule
# z - points upwards
table_pose = conversions.create_pose_stamped([ -0.5 - table_extent[0]/2.0, 0 ,table_extent[2]/2.0 ,0,0,0,1], '/base_link') # center of table, 0.5 meter behind the robot
wi.add_collision_box(table_pose, table_extent, "table")
# calculate grasp and lift pose
grasp_pose.pose.position.x += presets['grasp_offset'][0]
grasp_pose.pose.position.y += presets['grasp_offset'][1]
grasp_pose.pose.position.z += presets['grasp_offset'][2]
grasp_pose.pose.orientation = Quaternion(*quaternion_from_euler(*presets['fixed_orientation_euler'])) # orientation of sdh_grasp_link in base_link for 'grasp' joint goal
graspdata['height'] = grasp_pose.pose.position.z - table_extent[2]
pregrasp_pose = deepcopy(grasp_pose)
pregrasp_pose.pose.position.x += presets['pregrasp_offset'][0]
pregrasp_pose.pose.position.y += presets['pregrasp_offset'][1]
pregrasp_pose.pose.position.z += presets['pregrasp_offset'][2]
lift_pose = deepcopy(grasp_pose)
lift_pose.pose.position.x += presets['lift_offset'][0]
lift_pose.pose.position.y += presets['lift_offset'][1]
lift_pose.pose.position.z += presets['lift_offset'][2]
mp = MotionPlan()
# open hand
mp += CallFunction(sss.move, 'sdh','cylopen', False)
mp += MoveArm('arm',[pregrasp_pose,[presets['tcp_link']]], seed = presets['pregrasp_seed'])
mp += MoveComponent('sdh','cylopen', True)
# allow collison hand/object
for l in hand_description.HandDescription('arm').touch_links:
mp += EnableCollision("grasp_object", l)
# goto grasp
mp += MoveArm('arm', [grasp_pose,[presets['tcp_link']]]) # Move sdh_grasp_link to grasp_pose
# close hand
mp += MoveComponent('sdh','cylclosed')
# check grasp
#mp += CheckService('/sdh_controller/is_cylindric_grasped', Trigger, lambda res: res.success.data)
# disable collison
mp += ResetCollisions()
# attach object
mp += AttachObject('arm', "grasp_object")
# enable collision
mp += EnableCollision("grasp_object", "table")
# lift motion
mp += MoveArm('arm', [lift_pose,[presets['tcp_link']]]) # Move sdh_grasp_link to lift_pose
# disable collison
mp += ResetCollisions()
# move away
#mp += MoveArm('arm', [pregrasp_pose,[presets['tcp_link']]])
# goto hold
mp += MoveArm('arm', 'hold')
userdata.graspdata = graspdata
if not mp.plan(5).success:
sss.set_light('green')
return "not_grasped"
sss.set_light('yellow')
sss.say(["I am grasping " + userdata.object.label + " now."],False)
# run, handle errors
i = 0
for ex in mp.execute():
if not ex.wait(80.0).success:
sss.set_light('red')
return 'failed'
i+=1
sss.set_light('green')
return 'grasped'
