def create_box(env, name, transform, dims, color=[0, 0, 1]):
infobox = OpenRAVEBody.create_body_info(dims, color, 0, True)
box = RaveCreateKinBody(env, '')
box.InitFromGeometries([infobox])
box.SetName(name)
box.SetTransform(transform)
return box
def draw_robot_at_conf(conf, transparency, name, robot, env, color=None):
held_obj = robot.GetGrabbed()
before = get_body_xytheta(robot)
newrobot = RaveCreateRobot(env, '')
newrobot.Clone(robot, 0)
newrobot.SetName(name)
env.Add(newrobot, True)
set_active_config(conf, newrobot)
newrobot.Enable(False)
if color is not None:
set_color(newrobot, color)
print get_body_xytheta(robot)
if len(held_obj) > 0:
print get_body_xytheta(held_obj[0])
set_robot_config(conf)
held_obj = robot.GetGrabbed()[0]
held_obj_trans = held_obj.GetTransform()
release_obj()
new_obj = RaveCreateKinBody(env, '')
new_obj.Clone(held_obj, 0)
new_obj.SetName(name + '_obj')
env.Add(new_obj, True)
new_obj.SetTransform(held_obj_trans)
for link in new_obj.GetLinks():
for geom in link.GetGeometries():
geom.SetTransparency(transparency)
print get_body_xytheta(robot)
grab_obj(held_obj)
set_robot_config(before)
for link in newrobot.GetLinks():
for geom in link.GetGeometries():
geom.SetTransparency(transparency)
def box_body(env, name, dx, dy, dz, color=None, transparency=None):
body = RaveCreateKinBody(env, '')
body.InitFromBoxes(np.array([[0, 0, .5 * dz, .5 * dx, .5 * dy, .5 * dz]]),
draw=True)
body.SetName(name)
if color is not None:
set_color(body, color)
if transparency is not None:
set_transparency(body, transparency)
return body
def create_cylinder(env, body_name, t, dims, color=[0, 1, 1]):
infocylinder = OpenRAVEBody.create_body_info(GeometryType.Cylinder,
dims, color)
if type(env) != Environment:
import ipdb
ipdb.set_trace()
cylinder = RaveCreateKinBody(env, '')
cylinder.InitFromGeometries([infocylinder])
cylinder.SetName(body_name)
cylinder.SetTransform(t)
return cylinder
def draw_obj_at_conf(conf, transparency, name, obj, env, color=None):
before = get_body_xytheta(obj)
newobj = RaveCreateKinBody(env, '')
newobj.Clone(obj, 0)
newobj.SetName(name)
env.Add(newobj, True)
set_obj_xytheta(conf, newobj)
newobj.Enable(False)
if color is not None:
set_color(newobj, color)
set_body_transparency(newobj, transparency)
def main(env,options):
"Main example code."
if options.iktype is not None:
# cannot use .names due to python 2.5 (or is it boost version?)
for value,type in IkParameterization.Type.values.iteritems():
if type.name.lower() == options.iktype.lower():
iktype = type
break
else:
iktype = IkParameterizationType.Transform6D
env.Load(options.scene)
with env:
# load the Transform6D IK models
ikmodels = []
for robot in env.GetRobots():
for manip in robot.GetManipulators():
print manip
try:
robot.SetActiveManipulator(manip)
ikmodel = databases.inversekinematics.InverseKinematicsModel(robot, iktype=iktype)
if not ikmodel.load():
ikmodel.autogenerate()
if not ikmodel.has():
continue
ikmodels.append(ikmodel)
except Exception, e:
print 'failed manip %s'%manip, e
if len(ikmodels) == 0:
raveLogWarn('no manipulators found that can be loaded with iktype %s'%str(iktype))
# create the pickers
pickers = []
for ikmodel in ikmodels:
raveLogInfo('creating picker for %s'%str(ikmodel.manip))
picker = RaveCreateKinBody(env,'')
picker.InitFromBoxes(array([ [0.05,0,0,0.05,0.01,0.01], [0,0.05,0,0.01,0.05,0.01], [0,0,0.05,0.01,0.01,0.05] ]),True)
for igeom,geom in enumerate(picker.GetLinks()[0].GetGeometries()):
color = zeros(3)
color[igeom] = 1
geom.SetDiffuseColor(color)
picker.SetName(ikmodel.manip.GetName())
env.Add(picker,True)
# have to disable since not part of collision
picker.Enable(False)
picker.SetTransform(ikmodel.manip.GetTransform())
pickers.append([picker,ikmodel.manip])
def _add_obstacle(self, geom):
obstacles = np.matrix('-0.576036866359447, 0.918128654970760, 1;\
-0.806451612903226,-1.07017543859649, 1;\
1.01843317972350,-0.988304093567252, 1;\
0.640552995391705,0.906432748538011, 1;\
-0.576036866359447, 0.918128654970760, -1;\
-0.806451612903226,-1.07017543859649, -1;\
1.01843317972350,-0.988304093567252, -1;\
0.640552995391705,0.906432748538011, -1')
body = RaveCreateKinBody(self._env, '')
vertices = np.array(obstacles)
indices = np.array([[0, 1, 2], [2, 3, 0], [4, 5, 6], [6, 7, 4],
[0, 4, 5], [0, 1, 5], [1, 2, 5], [5, 6, 2],
[2, 3, 6], [6, 7, 3], [0, 3, 7], [0, 4, 7]])
body.InitFromTrimesh(trimesh=TriMesh(vertices, indices), draw=True)
body.SetName(self.name)
for link in body.GetLinks():
for geom in link.GetGeometries():
geom.SetDiffuseColor((.9, .9, .9))
self.env_body = body
self._env.AddKinBody(body)
class OpenRAVEBody(object):
def __init__(self, env, name, geom):
assert env is not None
self.name = name
self._env = env
self._geom = geom
if isinstance(geom, Circle):
self._add_circle(geom)
elif isinstance(geom, Can):
self._add_can(geom)
elif isinstance(geom, Obstacle):
self._add_obstacle(geom)
elif isinstance(geom, PR2):
self._add_robot(geom)
elif isinstance(geom, Table):
self._add_table(geom)
elif isinstance(geom, Wall):
self._add_wall(geom)
elif isinstance(geom, Box):
self._add_box(geom)
else:
raise OpenRAVEException(
"Geometry not supported for %s for OpenRAVEBody" % geom)
def delete(self):
self._env.Remove(self.env_body)
def set_transparency(self, transparency):
for link in self.env_body.GetLinks():
for geom in link.GetGeometries():
geom.SetTransparency(transparency)
def _add_circle(self, geom):
color = [1, 0, 0]
if hasattr(geom, "color") and geom.color == 'blue':
color = [0, 0, 1]
elif hasattr(geom, "color") and geom.color == 'green':
color = [0, 1, 0]
elif hasattr(geom, "color") and geom.color == 'red':
color = [1, 0, 0]
self.env_body = OpenRAVEBody.create_cylinder(self._env, self.name,
np.eye(4),
[geom.radius, 2], color)
self._env.AddKinBody(self.env_body)
def _add_can(self, geom):
color = [1, 0, 0]
if hasattr(geom, "color") and geom.color == 'blue':
color = [0, 0, 1]
elif hasattr(geom, "color") and geom.color == 'green':
color = [0, 1, 0]
elif hasattr(geom, "color") and geom.color == 'red':
color = [1, 0, 0]
self.env_body = OpenRAVEBody.create_cylinder(
self._env, self.name, np.eye(4), [geom.radius, geom.height], color)
self._env.AddKinBody(self.env_body)
def _add_obstacle(self, geom):
obstacles = np.matrix('-0.576036866359447, 0.918128654970760, 1;\
-0.806451612903226,-1.07017543859649, 1;\
1.01843317972350,-0.988304093567252, 1;\
0.640552995391705,0.906432748538011, 1;\
-0.576036866359447, 0.918128654970760, -1;\
-0.806451612903226,-1.07017543859649, -1;\
1.01843317972350,-0.988304093567252, -1;\
0.640552995391705,0.906432748538011, -1')
body = RaveCreateKinBody(self._env, '')
vertices = np.array(obstacles)
indices = np.array([[0, 1, 2], [2, 3, 0], [4, 5, 6], [6, 7, 4],
[0, 4, 5], [0, 1, 5], [1, 2, 5], [5, 6, 2],
[2, 3, 6], [6, 7, 3], [0, 3, 7], [0, 4, 7]])
body.InitFromTrimesh(trimesh=TriMesh(vertices, indices), draw=True)
body.SetName(self.name)
for link in body.GetLinks():
for geom in link.GetGeometries():
geom.SetDiffuseColor((.9, .9, .9))
self.env_body = body
self._env.AddKinBody(body)
def _add_box(self, geom):
infobox = OpenRAVEBody.create_body_info(KinBody.Link.GeomType.Box,
geom.dim, [0.5, 0.2, 0.1])
self.env_body = RaveCreateKinBody(self._env, '')
self.env_body.InitFromGeometries([infobox])
self.env_body.SetName(self.name)
self._env.Add(self.env_body)
def _add_wall(self, geom):
self.env_body = OpenRAVEBody.create_wall(self._env, geom.wall_type)
self.env_body.SetName(self.name)
self._env.Add(self.env_body)
def _add_robot(self, geom):
self.env_body = self._env.ReadRobotXMLFile(geom.shape)
self.env_body.SetName(self.name)
self._env.Add(self.env_body)
def _add_table(self, geom):
self.env_body = OpenRAVEBody.create_table(self._env, geom)
self.env_body.SetName(self.name)
self._env.Add(self.env_body)
def set_pose(self, base_pose, rotation=None):
trans = None
if isinstance(self._geom, Circle) or isinstance(
self._geom, Obstacle) or isinstance(self._geom, Wall):
trans = OpenRAVEBody.base_pose_2D_to_mat(base_pose)
elif isinstance(self._geom, PR2):
trans = OpenRAVEBody.base_pose_to_mat(base_pose)
elif isinstance(self._geom, Table) or isinstance(
self._geom, Can) or isinstance(self._geom, Box):
assert rotation != None
trans = OpenRAVEBody.transform_from_obj_pose(base_pose, rotation)
self.env_body.SetTransform(trans)
def set_dof(self, back_height, l_arm_pose, l_gripper, r_arm_pose,
r_gripper):
"""
This function assumed to be called when the self.env_body is a robot and its geom is type PR2
It sets the DOF values for important joint of PR2
back_height: back_height attribute of type Value
l_arm_pose: l_arm_pose attribute of type Vector7d
l_gripper: l_gripper attribute of type Value
r_arm_pose: r_arm_pose attribute of type Vector7d
r_gripper: r_gripper attribute of type Value
"""
# Get current dof value for each joint
dof_val = self.env_body.GetActiveDOFValues()
# Obtain indices of left arm and right arm
l_arm_inds = self.env_body.GetManipulator('leftarm').GetArmIndices()
l_gripper_ind = self.env_body.GetJoint(
'l_gripper_l_finger_joint').GetDOFIndex()
r_arm_inds = self.env_body.GetManipulator('rightarm').GetArmIndices()
r_gripper_ind = self.env_body.GetJoint(
'r_gripper_l_finger_joint').GetDOFIndex()
b_height_ind = self.env_body.GetJoint('torso_lift_joint').GetDOFIndex()
# Update the DOF value
dof_val[b_height_ind] = back_height
dof_val[l_arm_inds], dof_val[l_gripper_ind] = l_arm_pose, l_gripper
dof_val[r_arm_inds], dof_val[r_gripper_ind] = r_arm_pose, r_gripper
# Set new DOF value to the robot
self.env_body.SetActiveDOFValues(dof_val)
def _set_active_dof_inds(self, inds=None):
"""
Set active dof index to the one we are interested
This function is implemented to simplify jacobian calculation in the CollisionPredicate
inds: Optional list of index specifying dof index we are interested in
"""
robot = self.env_body
if inds == None:
dof_inds = np.ndarray(0, dtype=np.int)
dof_inds = np.r_[dof_inds,
robot.GetJoint("torso_lift_joint").GetDOFIndex()]
dof_inds = np.r_[dof_inds,
robot.GetManipulator("leftarm").GetArmIndices()]
dof_inds = np.r_[
dof_inds,
robot.GetManipulator("leftarm").GetGripperIndices()]
dof_inds = np.r_[dof_inds,
robot.GetManipulator("rightarm").GetArmIndices()]
dof_inds = np.r_[
dof_inds,
robot.GetManipulator("rightarm").GetGripperIndices()]
robot.SetActiveDOFs(
dof_inds, DOFAffine.X + DOFAffine.Y + DOFAffine.RotationAxis,
[0, 0, 1])
else:
robot.SetActiveDOFs(inds)
@staticmethod
def create_cylinder(env, body_name, t, dims, color=[0, 1, 1]):
infocylinder = OpenRAVEBody.create_body_info(GeometryType.Cylinder,
dims, color)
if type(env) != Environment:
import ipdb
ipdb.set_trace()
cylinder = RaveCreateKinBody(env, '')
cylinder.InitFromGeometries([infocylinder])
cylinder.SetName(body_name)
cylinder.SetTransform(t)
return cylinder
@staticmethod
def create_box(env, name, transform, dims, color=[0, 0, 1]):
infobox = OpenRAVEBody.create_body_info(dims, color, 0, True)
box = RaveCreateKinBody(env, '')
box.InitFromGeometries([infobox])
box.SetName(name)
box.SetTransform(transform)
return box
@staticmethod
def create_body_info(body_type,
dims,
color,
transparency=0.8,
visible=True):
infobox = KinBody.Link.GeometryInfo()
infobox._type = body_type
infobox._vGeomData = dims
infobox._bVisible = True
infobox._fTransparency = transparency
infobox._vDiffuseColor = color
return infobox
@staticmethod
def create_wall(env, wall_type):
component_type = KinBody.Link.GeomType.Box
wall_color = [0.5, 0.2, 0.1]
box_infos = []
if wall_type == 'closet':
wall_endpoints = [[-1.0, -3.0], [-1.0, 4.0], [1.9, 4.0],
[1.9, 8.0], [5.0, 8.0], [5.0, 4.0], [8.0, 4.0],
[8.0, -3.0], [-1.0, -3.0]]
else:
raise NotImplemented
for i, (start,
end) in enumerate(zip(wall_endpoints[0:-1],
wall_endpoints[1:])):
dim_x, dim_y = 0, 0
thickness = WALL_THICKNESS
if start[0] == end[0]:
ind_same, ind_diff = 0, 1
length = abs(start[ind_diff] - end[ind_diff])
dim_x, dim_y = thickness, length / 2 + thickness
elif start[1] == end[1]:
ind_same, ind_diff = 1, 0
length = abs(start[ind_diff] - end[ind_diff])
dim_x, dim_y = length / 2 + thickness, thickness
else:
raise NotImplemented, 'Can only create axis-aligned walls'
transform = np.eye(4)
transform[ind_same, 3] = start[ind_same]
if start[ind_diff] < end[ind_diff]:
transform[ind_diff, 3] = start[ind_diff] + length / 2
else:
transform[ind_diff, 3] = end[ind_diff] + length / 2
dims = [dim_x, dim_y, 1]
box_info = OpenRAVEBody.create_body_info(component_type, dims,
wall_color)
box_info._t = transform
box_infos.append(box_info)
wall = RaveCreateRobot(env, '')
wall.InitFromGeometries(box_infos)
return wall
@staticmethod
def create_table(env, geom):
thickness = geom.thickness
leg_height = geom.leg_height
back = geom.back
dim1, dim2 = geom.table_dim
legdim1, legdim2 = geom.leg_dim
table_color = [0.5, 0.2, 0.1]
component_type = KinBody.Link.GeomType.Box
tabletop = OpenRAVEBody.create_body_info(
component_type, [dim1 / 2, dim2 / 2, thickness / 2], table_color)
leg1 = OpenRAVEBody.create_body_info(
component_type, [legdim1 / 2, legdim2 / 2, leg_height / 2],
table_color)
leg1._t[0, 3] = dim1 / 2 - legdim1 / 2
leg1._t[1, 3] = dim2 / 2 - legdim2 / 2
leg1._t[2, 3] = -leg_height / 2 - thickness / 2
leg2 = OpenRAVEBody.create_body_info(
component_type, [legdim1 / 2, legdim2 / 2, leg_height / 2],
table_color)
leg2._t[0, 3] = dim1 / 2 - legdim1 / 2
leg2._t[1, 3] = -dim2 / 2 + legdim2 / 2
leg2._t[2, 3] = -leg_height / 2 - thickness / 2
leg3 = OpenRAVEBody.create_body_info(
component_type, [legdim1 / 2, legdim2 / 2, leg_height / 2],
table_color)
leg3._t[0, 3] = -dim1 / 2 + legdim1 / 2
leg3._t[1, 3] = dim2 / 2 - legdim2 / 2
leg3._t[2, 3] = -leg_height / 2 - thickness / 2
leg4 = OpenRAVEBody.create_body_info(
component_type, [legdim1 / 2, legdim2 / 2, leg_height / 2],
table_color)
leg4._t[0, 3] = -dim1 / 2 + legdim1 / 2
leg4._t[1, 3] = -dim2 / 2 + legdim2 / 2
leg4._t[2, 3] = -leg_height / 2 - thickness / 2
if back:
back_plate = OpenRAVEBody.create_body_info(
component_type,
[legdim1 / 10, dim2 / 2, leg_height - thickness / 2],
table_color)
back_plate._t[0, 3] = dim1 / 2 - legdim1 / 10
back_plate._t[1, 3] = 0
back_plate._t[2, 3] = -leg_height / 2 - thickness / 4
table = RaveCreateRobot(env, '')
if not back:
table.InitFromGeometries([tabletop, leg1, leg2, leg3, leg4])
else:
table.InitFromGeometries(
[tabletop, leg1, leg2, leg3, leg4, back_plate])
return table
@staticmethod
def base_pose_2D_to_mat(pose):
# x, y = pose
assert len(pose) == 2
x = pose[0]
y = pose[1]
rot = 0
q = quatFromAxisAngle((0, 0, rot)).tolist()
pos = [x, y, 0]
# pos = np.vstack((x,y,np.zeros(1)))
matrix = matrixFromPose(q + pos)
return matrix
@staticmethod
def base_pose_3D_to_mat(pose):
# x, y, z = pose
assert len(pose) == 3
x = pose[0]
y = pose[1]
z = pose[2]
rot = 0
q = quatFromAxisAngle((0, 0, rot)).tolist()
pos = [x, y, z]
# pos = np.vstack((x,y,np.zeros(1)))
matrix = matrixFromPose(q + pos)
return matrix
@staticmethod
def mat_to_base_pose_2D(mat):
pose = poseFromMatrix(mat)
x = pose[4]
y = pose[5]
return np.array([x, y])
@staticmethod
def base_pose_to_mat(pose):
# x, y, rot = pose
assert len(pose) == 3
x = pose[0]
y = pose[1]
rot = pose[2]
q = quatFromAxisAngle((0, 0, rot)).tolist()
pos = [x, y, 0]
# pos = np.vstack((x,y,np.zeros(1)))
matrix = matrixFromPose(q + pos)
return matrix
@staticmethod
def mat_to_base_pose(mat):
pose = poseFromMatrix(mat)
x = pose[4]
y = pose[5]
rot = axisAngleFromRotationMatrix(mat)[2]
return np.array([x, y, rot])
@staticmethod
def obj_pose_from_transform(transform):
trans = transform[:3, 3]
rot_matrix = transform[:3, :3]
yaw, pitch, roll = OpenRAVEBody._ypr_from_rot_matrix(rot_matrix)
# ipdb.set_trace()
return np.array((trans[0], trans[1], trans[2], yaw, pitch, roll))
@staticmethod
def transform_from_obj_pose(pose, rotation=np.array([0, 0, 0])):
x, y, z = pose
alpha, beta, gamma = rotation
Rz, Ry, Rx = OpenRAVEBody._axis_rot_matrices(pose, rotation)
rot_mat = np.dot(Rz, np.dot(Ry, Rx))
matrix = np.eye(4)
matrix[:3, :3] = rot_mat
matrix[:3, 3] = [x, y, z]
return matrix
@staticmethod
def _axis_rot_matrices(pose, rotation):
x, y, z = pose
alpha, beta, gamma = rotation
Rz_2d = np.array([[cos(alpha), -sin(alpha)], [sin(alpha), cos(alpha)]])
Ry_2d = np.array([[cos(beta), sin(beta)], [-sin(beta), cos(beta)]])
Rx_2d = np.array([[cos(gamma), -sin(gamma)], [sin(gamma), cos(gamma)]])
I = np.eye(3)
Rz = I.copy()
Rz[:2, :2] = Rz_2d
Ry = I.copy()
Ry[[[0], [2]], [0, 2]] = Ry_2d
Rx = I.copy()
Rx[1:3, 1:3] = Rx_2d
# ipdb.set_trace()
return Rz, Ry, Rx
@staticmethod
def _ypr_from_rot_matrix(r):
# alpha
yaw = atan2(r[1, 0], r[0, 0])
# beta
pitch = atan2(-r[2, 0], np.sqrt(r[2, 1]**2 + r[2, 2]**2))
# gamma
roll = atan2(r[2, 1], r[2, 2])
# ipdb.set_trace()
return (yaw, pitch, roll)
def ik_arm_pose(self, ee_pos, ee_rot):
assert isinstance(self._geom, PR2)
manip = self.env_body.GetManipulator('rightarm_torso')
iktype = IkParameterizationType.Transform6D
solution = self.ik_solution(manip, iktype, ee_pos, ee_rot)
return solution
def ik_solution(self, manip, iktype, ee_pos, ee_rot):
ee_trans = OpenRAVEBody.transform_from_obj_pose(ee_pos, ee_rot)
# Openravepy flip the rotation axis by 90 degree, thus we need to change it back
rot_mat = matrixFromAxisAngle([0, np.pi / 2, 0])
ee_trans = ee_trans.dot(rot_mat)
solutions = manip.FindIKSolutions(IkParameterization(ee_trans, iktype),
IkFilterOptions.CheckEnvCollisions)
return solutions
def main(env,options):
"Main example code."
if options.iktype is not None:
# cannot use .names due to python 2.5 (or is it boost version?)
for value,type in IkParameterization.Type.values.items():
if type.name.lower() == options.iktype.lower():
iktype = type
break
else:
iktype = IkParameterizationType.Transform6D
env.Load(options.scene)
with env:
# load the Transform6D IK models
ikmodels = []
for robot in env.GetRobots():
for manip in robot.GetManipulators():
print(manip)
try:
robot.SetActiveManipulator(manip)
ikmodel = databases.inversekinematics.InverseKinematicsModel(robot, iktype=iktype)
if not ikmodel.load():
ikmodel.autogenerate()
if not ikmodel.has():
continue
ikmodels.append(ikmodel)
except Exception as e:
print('failed manip %s %r'%(manip, e))
if len(ikmodels) == 0:
raveLogWarn('no manipulators found that can be loaded with iktype %s'%str(iktype))
# create the pickers
pickers = []
for ikmodel in ikmodels:
raveLogInfo('creating picker for %s'%str(ikmodel.manip))
picker = RaveCreateKinBody(env,'')
picker.InitFromBoxes(array([ [0.05,0,0,0.05,0.01,0.01], [0,0.05,0,0.01,0.05,0.01], [0,0,0.05,0.01,0.01,0.05] ]),True)
for igeom,geom in enumerate(picker.GetLinks()[0].GetGeometries()):
color = zeros(3)
color[igeom] = 1
geom.SetDiffuseColor(color)
picker.SetName(ikmodel.manip.GetName())
env.Add(picker,True)
# have to disable since not part of collision
picker.Enable(False)
picker.SetTransform(ikmodel.manip.GetTransform())
pickers.append([picker,ikmodel.manip])
raveLogInfo('pickers loaded, try moving them')
def PickerThread(env,pickers,iktype):
"""this function runs in a separate thread monitoring each of the pickers
"""
Tpickers = [None]*len(pickers)
while True:
if env.GetViewer() is None:
break
with env:
for ipicker,(picker,manip) in enumerate(pickers):
T=picker.GetTransform()
if Tpickers[ipicker] is not None and sum(abs(Tpickers[ipicker]-T).flatten()) <= 1e-10:
continue
data = None
if iktype == IkParameterizationType.Direction3D:
data = T[0:3,2]
elif iktype == IkParameterizationType.Lookat3D:
data = T[0:3,3]
elif iktype == IkParameterizationType.Ray4D:
data = Ray(T[0:3,3],T[0:3,2])
elif iktype == IkParameterizationType.Rotation3D:
data = T[0:3,0:3]
elif iktype == IkParameterizationType.Transform6D:
data = T
elif iktype == IkParameterizationType.Translation3D:
data = T[0:3,3]
elif iktype == IkParameterizationType.TranslationDirection5D:
ikparam = Ray(T[0:3,3],T[0:3,2])
elif iktype == IkParameterizationType.TranslationLocalGlobal6D:
ikparam = [T[0:3,3],zeros(3)]
else:
raveLogWarn('iktype %s unsupported'%str(iktype))
continue
sol = manip.FindIKSolution(IkParameterization(data,iktype),IkFilterOptions.CheckEnvCollisions)
if sol is not None:
robot.SetDOFValues(sol,manip.GetArmIndices())
# have to update all other pickers since two manipulators can be connected to the same joints (torso)
for ipicker2, (picker2,manip2) in enumerate(pickers):
Tpickers[ipicker2] = manip2.GetTransform()
picker2.SetTransform(manip2.GetTransform())
# changing color produces bugs with qtcoin
# for igeom,geom in enumerate(picker.GetLinks()[0].GetGeometries()):
# color = zeros(3)
# color[igeom] = 0.4 if sol is None else 1.0
# geom.SetDiffuseColor(color)
Tpickers[ipicker] = T
# update rate of 0.05s
time.sleep(0.05)
# create the thread
t = threading.Thread(target=PickerThread,args=[env,pickers,iktype])
t.start()
while True:
t.join(1)