def GetHomeConfiguration(is_printing=True):
"""
Returns a configuration of the MultibodyPlant in which point Q (defined by global variable p_EQ)
in robot EE frame is at p_WQ_home, and orientation of frame Ea is R_WEa_ref.
"""
# get "home" pose
ik_scene = inverse_kinematics.InverseKinematics(plant)
theta_bound = 0.005 * np.pi # 0.9 degrees
X_EEa = GetEndEffectorWorldAlignedFrame()
R_EEa = RotationMatrix(X_EEa.rotation())
ik_scene.AddOrientationConstraint(frameAbar=world_frame,
R_AbarA=R_WL7_ref,
frameBbar=l7_frame,
R_BbarB=RotationMatrix.Identity(),
theta_bound=theta_bound)
p_WQ0 = p_WQ_home
p_WQ_lower = p_WQ0 - 0.005
p_WQ_upper = p_WQ0 + 0.005
ik_scene.AddPositionConstraint(frameB=l7_frame,
p_BQ=p_L7Q,
frameA=world_frame,
p_AQ_lower=p_WQ_lower,
p_AQ_upper=p_WQ_upper)
prog = ik_scene.prog()
prog.SetInitialGuess(ik_scene.q(), np.zeros(plant.num_positions()))
result = prog.Solve()
if is_printing:
print result
return prog.GetSolution(ik_scene.q())
def SolveOneShotIk(
p_WQ_ref,
R_WL7_ref,
p_L7Q,
q_initial_guess,
position_tolerance=0.005,
theta_bound=0.005):
ik = inverse_kinematics.InverseKinematics(plant)
ik.AddOrientationConstraint(
frameAbar=world_frame, R_AbarA=R_WL7_ref,
frameBbar=l7_frame, R_BbarB=RotationMatrix.Identity(),
theta_bound=theta_bound)
p_WQ_lower = p_WQ_ref - position_tolerance
p_WQ_upper = p_WQ_ref + position_tolerance
ik.AddPositionConstraint(
frameB=l7_frame, p_BQ=p_L7Q,
frameA=world_frame,
p_AQ_lower=p_WQ_lower, p_AQ_upper=p_WQ_upper)
prog = ik.prog()
prog.SetInitialGuess(ik.q(), q_initial_guess)
result = mp.Solve(prog)
if result.get_solution_result() != SolutionResult.kSolutionFound:
print(result.get_solution_result())
raise RuntimeError
return result.GetSolution(ik.q())
def solve_inverse_kinematics(mbp, target_frame, target_pose,
max_position_error=0.005, theta_bound=0.01*np.pi, initial_guess=None):
if initial_guess is None:
initial_guess = np.zeros(mbp.num_positions())
for joint in prune_fixed_joints(get_joints(mbp)):
lower, upper = get_joint_limits(joint)
if -np.inf < lower < upper < np.inf:
initial_guess[joint.position_start()] = random.uniform(lower, upper)
assert mbp.num_positions() == len(initial_guess)
ik_scene = InverseKinematics(mbp)
world_frame = mbp.world_frame()
ik_scene.AddOrientationConstraint(
frameAbar=target_frame, R_AbarA=RotationMatrix.Identity(),
frameBbar=world_frame, R_BbarB=RotationMatrix(target_pose.rotation()),
theta_bound=theta_bound)
lower = target_pose.translation() - max_position_error
upper = target_pose.translation() + max_position_error
ik_scene.AddPositionConstraint(
frameB=target_frame, p_BQ=np.zeros(3),
frameA=world_frame, p_AQ_lower=lower, p_AQ_upper=upper)
prog = ik_scene.prog()
prog.SetInitialGuess(ik_scene.q(), initial_guess)
result = prog.Solve()
if result != SolutionResult.kSolutionFound:
return None
return prog.GetSolution(ik_scene.q())
def main():
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument(
"--target_realtime_rate",
type=float,
default=1.0,
help="Desired rate relative to real time. See documentation for "
"Simulator::set_target_realtime_rate() for details.")
parser.add_argument("--duration",
type=float,
default=np.inf,
help="Desired duration of the simulation in seconds.")
parser.add_argument(
"--hardware",
action='store_true',
help="Use the ManipulationStationHardwareInterface instead of an "
"in-process simulation.")
parser.add_argument("--test",
action='store_true',
help="Disable opening the gui window for testing.")
parser.add_argument(
'--setup',
type=str,
default='manipulation_class',
help="The manipulation station setup to simulate. ",
choices=['manipulation_class', 'clutter_clearing', 'planar'])
parser.add_argument(
"-w",
"--open-window",
dest="browser_new",
action="store_const",
const=1,
default=None,
help="Open the MeshCat display in a new browser window.")
args = parser.parse_args()
builder = DiagramBuilder()
# NOTE: the meshcat instance is always created in order to create the
# teleop controls (joint sliders and open/close gripper button). When
# args.hardware is True, the meshcat server will *not* display robot
# geometry, but it will contain the joint sliders and open/close gripper
# button in the "Open Controls" tab in the top-right of the viewing server.
meshcat = Meshcat()
if args.hardware:
# TODO(russt): Replace this hard-coded camera serial number with a
# config file.
camera_ids = ["805212060544"]
station = builder.AddSystem(
ManipulationStationHardwareInterface(camera_ids))
station.Connect(wait_for_cameras=False)
else:
station = builder.AddSystem(ManipulationStation())
# Initializes the chosen station type.
if args.setup == 'manipulation_class':
station.SetupManipulationClassStation()
station.AddManipulandFromFile(
"drake/examples/manipulation_station/models/" +
"061_foam_brick.sdf",
RigidTransform(RotationMatrix.Identity(), [0.6, 0, 0]))
elif args.setup == 'clutter_clearing':
station.SetupClutterClearingStation()
ycb_objects = CreateClutterClearingYcbObjectList()
for model_file, X_WObject in ycb_objects:
station.AddManipulandFromFile(model_file, X_WObject)
elif args.setup == 'planar':
station.SetupPlanarIiwaStation()
station.AddManipulandFromFile(
"drake/examples/manipulation_station/models/" +
"061_foam_brick.sdf",
RigidTransform(RotationMatrix.Identity(), [0.6, 0, 0]))
station.Finalize()
geometry_query_port = station.GetOutputPort("geometry_query")
DrakeVisualizer.AddToBuilder(builder, geometry_query_port)
meshcat_visualizer = MeshcatVisualizerCpp.AddToBuilder(
builder=builder,
query_object_port=geometry_query_port,
meshcat=meshcat)
if args.setup == 'planar':
meshcat.Set2dRenderMode()
pyplot_visualizer = ConnectPlanarSceneGraphVisualizer(
builder, station.get_scene_graph(), geometry_query_port)
if args.browser_new is not None:
url = meshcat.web_url()
webbrowser.open(url=url, new=args.browser_new)
teleop = builder.AddSystem(
JointSliders(meshcat=meshcat, plant=station.get_controller_plant()))
num_iiwa_joints = station.num_iiwa_joints()
filter = builder.AddSystem(
FirstOrderLowPassFilter(time_constant=2.0, size=num_iiwa_joints))
builder.Connect(teleop.get_output_port(0), filter.get_input_port(0))
builder.Connect(filter.get_output_port(0),
station.GetInputPort("iiwa_position"))
wsg_buttons = builder.AddSystem(SchunkWsgButtons(meshcat=meshcat))
builder.Connect(wsg_buttons.GetOutputPort("position"),
station.GetInputPort("wsg_position"))
builder.Connect(wsg_buttons.GetOutputPort("force_limit"),
station.GetInputPort("wsg_force_limit"))
# When in regression test mode, log our joint velocities to later check
# that they were sufficiently quiet.
if args.test:
iiwa_velocities = builder.AddSystem(VectorLogSink(num_iiwa_joints))
builder.Connect(station.GetOutputPort("iiwa_velocity_estimated"),
iiwa_velocities.get_input_port(0))
else:
iiwa_velocities = None
diagram = builder.Build()
simulator = Simulator(diagram)
# This is important to avoid duplicate publishes to the hardware interface:
simulator.set_publish_every_time_step(False)
station_context = diagram.GetMutableSubsystemContext(
station, simulator.get_mutable_context())
station.GetInputPort("iiwa_feedforward_torque").FixValue(
station_context, np.zeros(num_iiwa_joints))
# If the diagram is only the hardware interface, then we must advance it a
# little bit so that first LCM messages get processed. A simulated plant is
# already publishing correct positions even without advancing, and indeed
# we must not advance a simulated plant until the sliders and filters have
# been initialized to match the plant.
if args.hardware:
simulator.AdvanceTo(1e-6)
# Eval the output port once to read the initial positions of the IIWA.
q0 = station.GetOutputPort("iiwa_position_measured").Eval(station_context)
teleop.SetPositions(q0)
filter.set_initial_output_value(
diagram.GetMutableSubsystemContext(filter,
simulator.get_mutable_context()),
q0)
simulator.set_target_realtime_rate(args.target_realtime_rate)
simulator.AdvanceTo(args.duration)
# Ensure that our initialization logic was correct, by inspecting our
# logged joint velocities.
if args.test:
iiwa_velocities_log = iiwa_velocities.FindLog(simulator.get_context())
for time, qdot in zip(iiwa_velocities_log.sample_times(),
iiwa_velocities_log.data().transpose()):
# TODO(jwnimmer-tri) We should be able to do better than a 40
# rad/sec limit, but that's the best we can enforce for now.
if qdot.max() > 0.1:
print(f"ERROR: large qdot {qdot} at time {time}")
sys.exit(1)
def main():
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument(
"--target_realtime_rate", type=float, default=1.0,
help="Desired rate relative to real time. See documentation for "
"Simulator::set_target_realtime_rate() for details.")
parser.add_argument(
"--duration", type=float, default=np.inf,
help="Desired duration of the simulation in seconds.")
parser.add_argument(
"--hardware", action='store_true',
help="Use the ManipulationStationHardwareInterface instead of an "
"in-process simulation.")
parser.add_argument(
"--test", action='store_true',
help="Disable opening the gui window for testing.")
parser.add_argument(
"--filter_time_const", type=float, default=0.1,
help="Time constant for the first order low pass filter applied to"
"the teleop commands")
parser.add_argument(
"--velocity_limit_factor", type=float, default=1.0,
help="This value, typically between 0 and 1, further limits the "
"iiwa14 joint velocities. It multiplies each of the seven "
"pre-defined joint velocity limits. "
"Note: The pre-defined velocity limits are specified by "
"iiwa14_velocity_limits, found in this python file.")
parser.add_argument(
'--setup', type=str, default='manipulation_class',
help="The manipulation station setup to simulate. ",
choices=['manipulation_class', 'clutter_clearing', 'planar'])
parser.add_argument(
'--schunk_collision_model', type=str, default='box',
help="The Schunk collision model to use for simulation. ",
choices=['box', 'box_plus_fingertip_spheres'])
MeshcatVisualizer.add_argparse_argument(parser)
args = parser.parse_args()
builder = DiagramBuilder()
if args.hardware:
station = builder.AddSystem(ManipulationStationHardwareInterface())
station.Connect(wait_for_cameras=False)
else:
station = builder.AddSystem(ManipulationStation())
if args.schunk_collision_model == "box":
schunk_model = SchunkCollisionModel.kBox
elif args.schunk_collision_model == "box_plus_fingertip_spheres":
schunk_model = SchunkCollisionModel.kBoxPlusFingertipSpheres
# Initializes the chosen station type.
if args.setup == 'manipulation_class':
station.SetupManipulationClassStation(
schunk_model=schunk_model)
station.AddManipulandFromFile(
"drake/examples/manipulation_station/models/"
+ "061_foam_brick.sdf",
RigidTransform(RotationMatrix.Identity(), [0.6, 0, 0]))
elif args.setup == 'clutter_clearing':
station.SetupClutterClearingStation(
schunk_model=schunk_model)
ycb_objects = CreateClutterClearingYcbObjectList()
for model_file, X_WObject in ycb_objects:
station.AddManipulandFromFile(model_file, X_WObject)
elif args.setup == 'planar':
station.SetupPlanarIiwaStation(
schunk_model=schunk_model)
station.AddManipulandFromFile(
"drake/examples/manipulation_station/models/"
+ "061_foam_brick.sdf",
RigidTransform(RotationMatrix.Identity(), [0.6, 0, 0]))
station.Finalize()
# If using meshcat, don't render the cameras, since RgbdCamera
# rendering only works with drake-visualizer. Without this check,
# running this code in a docker container produces libGL errors.
if args.meshcat:
meshcat = ConnectMeshcatVisualizer(
builder, output_port=station.GetOutputPort("geometry_query"),
zmq_url=args.meshcat, open_browser=args.open_browser)
if args.setup == 'planar':
meshcat.set_planar_viewpoint()
elif args.setup == 'planar':
pyplot_visualizer = builder.AddSystem(PlanarSceneGraphVisualizer(
station.get_scene_graph()))
builder.Connect(station.GetOutputPort("pose_bundle"),
pyplot_visualizer.get_input_port(0))
else:
DrakeVisualizer.AddToBuilder(builder,
station.GetOutputPort("query_object"))
image_to_lcm_image_array = builder.AddSystem(
ImageToLcmImageArrayT())
image_to_lcm_image_array.set_name("converter")
for name in station.get_camera_names():
cam_port = (
image_to_lcm_image_array
.DeclareImageInputPort[PixelType.kRgba8U](
"camera_" + name))
builder.Connect(
station.GetOutputPort("camera_" + name + "_rgb_image"),
cam_port)
image_array_lcm_publisher = builder.AddSystem(
LcmPublisherSystem.Make(
channel="DRAKE_RGBD_CAMERA_IMAGES",
lcm_type=image_array_t,
lcm=None,
publish_period=0.1,
use_cpp_serializer=True))
image_array_lcm_publisher.set_name("rgbd_publisher")
builder.Connect(
image_to_lcm_image_array.image_array_t_msg_output_port(),
image_array_lcm_publisher.get_input_port(0))
robot = station.get_controller_plant()
params = DifferentialInverseKinematicsParameters(robot.num_positions(),
robot.num_velocities())
time_step = 0.005
params.set_timestep(time_step)
# True velocity limits for the IIWA14 (in rad, rounded down to the first
# decimal)
iiwa14_velocity_limits = np.array([1.4, 1.4, 1.7, 1.3, 2.2, 2.3, 2.3])
if args.setup == 'planar':
# Extract the 3 joints that are not welded in the planar version.
iiwa14_velocity_limits = iiwa14_velocity_limits[1:6:2]
# The below constant is in body frame.
params.set_end_effector_velocity_gain([1, 0, 0, 0, 1, 1])
# Stay within a small fraction of those limits for this teleop demo.
factor = args.velocity_limit_factor
params.set_joint_velocity_limits((-factor*iiwa14_velocity_limits,
factor*iiwa14_velocity_limits))
differential_ik = builder.AddSystem(DifferentialIK(
robot, robot.GetFrameByName("iiwa_link_7"), params, time_step))
builder.Connect(differential_ik.GetOutputPort("joint_position_desired"),
station.GetInputPort("iiwa_position"))
teleop = builder.AddSystem(EndEffectorTeleop(args.setup == 'planar'))
if args.test:
teleop.window.withdraw() # Don't display the window when testing.
filter = builder.AddSystem(
FirstOrderLowPassFilter(time_constant=args.filter_time_const, size=6))
builder.Connect(teleop.get_output_port(0), filter.get_input_port(0))
builder.Connect(filter.get_output_port(0),
differential_ik.GetInputPort("rpy_xyz_desired"))
wsg_buttons = builder.AddSystem(SchunkWsgButtons(teleop.window))
builder.Connect(wsg_buttons.GetOutputPort("position"),
station.GetInputPort("wsg_position"))
builder.Connect(wsg_buttons.GetOutputPort("force_limit"),
station.GetInputPort("wsg_force_limit"))
# When in regression test mode, log our joint velocities to later check
# that they were sufficiently quiet.
num_iiwa_joints = station.num_iiwa_joints()
if args.test:
iiwa_velocities = builder.AddSystem(SignalLogger(num_iiwa_joints))
builder.Connect(station.GetOutputPort("iiwa_velocity_estimated"),
iiwa_velocities.get_input_port(0))
else:
iiwa_velocities = None
diagram = builder.Build()
simulator = Simulator(diagram)
# This is important to avoid duplicate publishes to the hardware interface:
simulator.set_publish_every_time_step(False)
station_context = diagram.GetMutableSubsystemContext(
station, simulator.get_mutable_context())
station.GetInputPort("iiwa_feedforward_torque").FixValue(
station_context, np.zeros(num_iiwa_joints))
# If the diagram is only the hardware interface, then we must advance it a
# little bit so that first LCM messages get processed. A simulated plant is
# already publishing correct positions even without advancing, and indeed
# we must not advance a simulated plant until the sliders and filters have
# been initialized to match the plant.
if args.hardware:
simulator.AdvanceTo(1e-6)
q0 = station.GetOutputPort("iiwa_position_measured").Eval(
station_context)
differential_ik.parameters.set_nominal_joint_position(q0)
teleop.SetPose(differential_ik.ForwardKinematics(q0))
filter.set_initial_output_value(
diagram.GetMutableSubsystemContext(
filter, simulator.get_mutable_context()),
teleop.get_output_port(0).Eval(diagram.GetMutableSubsystemContext(
teleop, simulator.get_mutable_context())))
differential_ik.SetPositions(diagram.GetMutableSubsystemContext(
differential_ik, simulator.get_mutable_context()), q0)
simulator.set_target_realtime_rate(args.target_realtime_rate)
simulator.AdvanceTo(args.duration)
# Ensure that our initialization logic was correct, by inspecting our
# logged joint velocities.
if args.test:
for time, qdot in zip(iiwa_velocities.sample_times(),
iiwa_velocities.data().transpose()):
# TODO(jwnimmer-tri) We should be able to do better than a 40
# rad/sec limit, but that's the best we can enforce for now.
if qdot.max() > 0.1:
print(f"ERROR: large qdot {qdot} at time {time}")
sys.exit(1)
def main():
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument(
"--target_realtime_rate", type=float, default=1.0,
help="Desired rate relative to real time. See documentation for "
"Simulator::set_target_realtime_rate() for details.")
parser.add_argument(
"--duration", type=float, default=np.inf,
help="Desired duration of the simulation in seconds.")
parser.add_argument(
"--hardware", action='store_true',
help="Use the ManipulationStationHardwareInterface instead of an "
"in-process simulation.")
parser.add_argument(
"--test", action='store_true',
help="Disable opening the gui window for testing.")
parser.add_argument(
"--time_step", type=float, default=0.005,
help="Time constant for the differential IK solver and first order"
"low pass filter applied to the teleop commands")
parser.add_argument(
"--velocity_limit_factor", type=float, default=1.0,
help="This value, typically between 0 and 1, further limits the "
"iiwa14 joint velocities. It multiplies each of the seven "
"pre-defined joint velocity limits. "
"Note: The pre-defined velocity limits are specified by "
"iiwa14_velocity_limits, found in this python file.")
parser.add_argument(
'--setup', type=str, default='manipulation_class',
help="The manipulation station setup to simulate. ",
choices=['manipulation_class', 'clutter_clearing'])
parser.add_argument(
'--schunk_collision_model', type=str, default='box',
help="The Schunk collision model to use for simulation. ",
choices=['box', 'box_plus_fingertip_spheres'])
MeshcatVisualizer.add_argparse_argument(parser)
args = parser.parse_args()
if args.test:
# Don't grab mouse focus during testing.
# See: https://stackoverflow.com/a/52528832/7829525
os.environ["SDL_VIDEODRIVER"] = "dummy"
builder = DiagramBuilder()
if args.hardware:
station = builder.AddSystem(ManipulationStationHardwareInterface())
station.Connect(wait_for_cameras=False)
else:
station = builder.AddSystem(ManipulationStation())
if args.schunk_collision_model == "box":
schunk_model = SchunkCollisionModel.kBox
elif args.schunk_collision_model == "box_plus_fingertip_spheres":
schunk_model = SchunkCollisionModel.kBoxPlusFingertipSpheres
# Initializes the chosen station type.
if args.setup == 'manipulation_class':
station.SetupManipulationClassStation(
schunk_model=schunk_model)
station.AddManipulandFromFile(
("drake/examples/manipulation_station/models/"
"061_foam_brick.sdf"),
RigidTransform(RotationMatrix.Identity(), [0.6, 0, 0]))
elif args.setup == 'clutter_clearing':
station.SetupClutterClearingStation(
schunk_model=schunk_model)
ycb_objects = CreateClutterClearingYcbObjectList()
for model_file, X_WObject in ycb_objects:
station.AddManipulandFromFile(model_file, X_WObject)
station.Finalize()
DrakeVisualizer.AddToBuilder(builder,
station.GetOutputPort("query_object"))
if args.meshcat:
meshcat = ConnectMeshcatVisualizer(
builder, output_port=station.GetOutputPort("geometry_query"),
zmq_url=args.meshcat, open_browser=args.open_browser)
if args.setup == 'planar':
meshcat.set_planar_viewpoint()
robot = station.get_controller_plant()
params = DifferentialInverseKinematicsParameters(robot.num_positions(),
robot.num_velocities())
params.set_timestep(args.time_step)
# True velocity limits for the IIWA14 (in rad/s, rounded down to the first
# decimal)
iiwa14_velocity_limits = np.array([1.4, 1.4, 1.7, 1.3, 2.2, 2.3, 2.3])
# Stay within a small fraction of those limits for this teleop demo.
factor = args.velocity_limit_factor
params.set_joint_velocity_limits((-factor*iiwa14_velocity_limits,
factor*iiwa14_velocity_limits))
differential_ik = builder.AddSystem(DifferentialIK(
robot, robot.GetFrameByName("iiwa_link_7"), params, args.time_step))
builder.Connect(differential_ik.GetOutputPort("joint_position_desired"),
station.GetInputPort("iiwa_position"))
teleop = builder.AddSystem(DualShock4Teleop(initialize_joystick()))
filter_ = builder.AddSystem(
FirstOrderLowPassFilter(time_constant=args.time_step, size=6))
builder.Connect(teleop.get_output_port(0), filter_.get_input_port(0))
builder.Connect(filter_.get_output_port(0),
differential_ik.GetInputPort("rpy_xyz_desired"))
builder.Connect(teleop.GetOutputPort("position"), station.GetInputPort(
"wsg_position"))
builder.Connect(teleop.GetOutputPort("force_limit"),
station.GetInputPort("wsg_force_limit"))
diagram = builder.Build()
simulator = Simulator(diagram)
# This is important to avoid duplicate publishes to the hardware interface:
simulator.set_publish_every_time_step(False)
station_context = diagram.GetMutableSubsystemContext(
station, simulator.get_mutable_context())
station.GetInputPort("iiwa_feedforward_torque").FixValue(
station_context, np.zeros(7))
# If the diagram is only the hardware interface, then we must advance it a
# little bit so that first LCM messages get processed. A simulated plant is
# already publishing correct positions even without advancing, and indeed
# we must not advance a simulated plant until the sliders and filters have
# been initialized to match the plant.
if args.hardware:
simulator.AdvanceTo(1e-6)
q0 = station.GetOutputPort("iiwa_position_measured").Eval(station_context)
differential_ik.parameters.set_nominal_joint_position(q0)
teleop.SetPose(differential_ik.ForwardKinematics(q0))
filter_.set_initial_output_value(
diagram.GetMutableSubsystemContext(
filter_, simulator.get_mutable_context()),
teleop.get_output_port(0).Eval(diagram.GetMutableSubsystemContext(
teleop, simulator.get_mutable_context())))
differential_ik.SetPositions(diagram.GetMutableSubsystemContext(
differential_ik, simulator.get_mutable_context()), q0)
simulator.set_target_realtime_rate(args.target_realtime_rate)
print_instructions()
simulator.AdvanceTo(args.duration)
def main():
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument(
"--target_realtime_rate",
type=float,
default=1.0,
help="Desired rate relative to real time. See documentation for "
"Simulator::set_target_realtime_rate() for details.")
parser.add_argument("--duration",
type=float,
default=np.inf,
help="Desired duration of the simulation in seconds.")
parser.add_argument(
"--hardware",
action='store_true',
help="Use the ManipulationStationHardwareInterface instead of an "
"in-process simulation.")
parser.add_argument("--test",
action='store_true',
help="Disable opening the gui window for testing.")
parser.add_argument(
"--filter_time_const",
type=float,
default=0.005,
help="Time constant for the first order low pass filter applied to"
"the teleop commands")
parser.add_argument(
"--velocity_limit_factor",
type=float,
default=1.0,
help="This value, typically between 0 and 1, further limits the "
"iiwa14 joint velocities. It multiplies each of the seven "
"pre-defined joint velocity limits. "
"Note: The pre-defined velocity limits are specified by "
"iiwa14_velocity_limits, found in this python file.")
parser.add_argument('--setup',
type=str,
default='manipulation_class',
help="The manipulation station setup to simulate. ",
choices=['manipulation_class', 'clutter_clearing'])
MeshcatVisualizer.add_argparse_argument(parser)
args = parser.parse_args()
if args.test:
# Don't grab mouse focus during testing.
grab_focus = False
# See: https://stackoverflow.com/a/52528832/7829525
os.environ["SDL_VIDEODRIVER"] = "dummy"
else:
grab_focus = True
builder = DiagramBuilder()
if args.hardware:
station = builder.AddSystem(ManipulationStationHardwareInterface())
station.Connect(wait_for_cameras=False)
else:
station = builder.AddSystem(ManipulationStation())
# Initializes the chosen station type.
if args.setup == 'manipulation_class':
station.SetupManipulationClassStation()
station.AddManipulandFromFile(
("drake/examples/manipulation_station/models/"
"061_foam_brick.sdf"),
RigidTransform(RotationMatrix.Identity(), [0.6, 0, 0]))
elif args.setup == 'clutter_clearing':
station.SetupClutterClearingStation()
ycb_objects = CreateClutterClearingYcbObjectList()
for model_file, X_WObject in ycb_objects:
station.AddManipulandFromFile(model_file, X_WObject)
station.Finalize()
ConnectDrakeVisualizer(builder, station.get_scene_graph(),
station.GetOutputPort("pose_bundle"))
if args.meshcat:
meshcat = builder.AddSystem(
MeshcatVisualizer(station.get_scene_graph(),
zmq_url=args.meshcat))
builder.Connect(station.GetOutputPort("pose_bundle"),
meshcat.get_input_port(0))
robot = station.get_controller_plant()
params = DifferentialInverseKinematicsParameters(robot.num_positions(),
robot.num_velocities())
time_step = 0.005
params.set_timestep(time_step)
# True velocity limits for the IIWA14 (in rad, rounded down to the first
# decimal)
iiwa14_velocity_limits = np.array([1.4, 1.4, 1.7, 1.3, 2.2, 2.3, 2.3])
# Stay within a small fraction of those limits for this teleop demo.
factor = args.velocity_limit_factor
params.set_joint_velocity_limits(
(-factor * iiwa14_velocity_limits, factor * iiwa14_velocity_limits))
differential_ik = builder.AddSystem(
DifferentialIK(robot, robot.GetFrameByName("iiwa_link_7"), params,
time_step))
builder.Connect(differential_ik.GetOutputPort("joint_position_desired"),
station.GetInputPort("iiwa_position"))
teleop = builder.AddSystem(MouseKeyboardTeleop(grab_focus=grab_focus))
filter_ = builder.AddSystem(
FirstOrderLowPassFilter(time_constant=args.filter_time_const, size=6))
builder.Connect(teleop.get_output_port(0), filter_.get_input_port(0))
builder.Connect(filter_.get_output_port(0),
differential_ik.GetInputPort("rpy_xyz_desired"))
builder.Connect(teleop.GetOutputPort("position"),
station.GetInputPort("wsg_position"))
builder.Connect(teleop.GetOutputPort("force_limit"),
station.GetInputPort("wsg_force_limit"))
diagram = builder.Build()
simulator = Simulator(diagram)
# This is important to avoid duplicate publishes to the hardware interface:
simulator.set_publish_every_time_step(False)
station_context = diagram.GetMutableSubsystemContext(
station, simulator.get_mutable_context())
station.GetInputPort("iiwa_feedforward_torque").FixValue(
station_context, np.zeros(7))
simulator.AdvanceTo(1e-6)
q0 = station.GetOutputPort("iiwa_position_measured").Eval(station_context)
differential_ik.parameters.set_nominal_joint_position(q0)
teleop.SetPose(differential_ik.ForwardKinematics(q0))
filter_.set_initial_output_value(
diagram.GetMutableSubsystemContext(filter_,
simulator.get_mutable_context()),
teleop.get_output_port(0).Eval(
diagram.GetMutableSubsystemContext(
teleop, simulator.get_mutable_context())))
differential_ik.SetPositions(
diagram.GetMutableSubsystemContext(differential_ik,
simulator.get_mutable_context()),
q0)
simulator.set_target_realtime_rate(args.target_realtime_rate)
print_instructions()
simulator.AdvanceTo(args.duration)
if args.hardware:
# TODO(russt): Replace this hard-coded camera serial number with a config
# file.
camera_ids = ["805212060544"]
station = builder.AddSystem(
ManipulationStationHardwareInterface(camera_ids))
station.Connect(wait_for_cameras=False)
else:
station = builder.AddSystem(ManipulationStation())
# Initializes the chosen station type.
if args.setup == 'manipulation_class':
station.SetupManipulationClassStation()
station.AddManipulandFromFile(
"drake/examples/manipulation_station/models/061_foam_brick.sdf",
RigidTransform(RotationMatrix.Identity(), [0.6, 0, 0]))
elif args.setup == 'clutter_clearing':
station.SetupClutterClearingStation()
ycb_objects = CreateClutterClearingYcbObjectList()
for model_file, X_WObject in ycb_objects:
station.AddManipulandFromFile(model_file, X_WObject)
elif args.setup == 'planar':
station.SetupPlanarIiwaStation()
station.AddManipulandFromFile(
"drake/examples/manipulation_station/models/061_foam_brick.sdf",
RigidTransform(RotationMatrix.Identity(), [0.6, 0, 0]))
station.Finalize()
ConnectDrakeVisualizer(builder, station.get_scene_graph(),
station.GetOutputPort("pose_bundle"))
def InverseKinPointwise(
p_WQ_start,
p_WQ_end,
duration,
num_knot_points,
q_initial_guess,
InterpolatePosition=None,
InterpolateOrientation=None,
position_tolerance=0.005,
theta_bound=0.005 * np.pi, # 0.9 degrees
is_printing=True):
"""
Calculates a joint space trajectory for iiwa by repeatedly calling IK. The first IK is initialized (seeded)
with q_initial_guess. Subsequent IKs are seeded with the solution from the previous IK.
Positions for point Q (p_EQ) and orientations for the end effector, generated respectively by
InterpolatePosition and InterpolateOrientation, are added to the IKs as constraints.
@param p_WQ_start: The first argument of function InterpolatePosition (defined below).
@param p_WQ_end: The second argument of function InterpolatePosition (defined below).
@param duration: The duration of the trajectory returned by this function in seconds.
@param num_knot_points: number of knot points in the trajectory.
@param q_initial_guess: initial guess for the first IK.
@param InterpolatePosition: A function with signature (start, end, num_knot_points, i). It returns
p_WQ, a (3,) numpy array which describes the desired position of Q at knot point i in world frame.
@param InterpolateOrientation: A function with signature
@param position_tolerance: tolerance for IK position constraints in meters.
@param theta_bound: tolerance for IK orientation constraints in radians.
@param is_printing: whether the solution results of IKs are printed.
@return: qtraj: a 7-dimensional cubic polynomial that describes a trajectory for the iiwa arm.
@return: q_knots: a (n, num_knot_points) numpy array (where n = plant.num_positions()) that stores solutions
returned by all IKs. It can be used to initialize IKs for the next trajectory.
"""
q_knots = np.zeros((num_knot_points + 1, plant.num_positions()))
q_knots[0] = q_initial_guess
for i in range(num_knot_points):
ik = inverse_kinematics.InverseKinematics(plant)
q_variables = ik.q()
# Orientation constraint
R_WL7_ref = InterpolateOrientation(i, num_knot_points)
ik.AddOrientationConstraint(frameAbar=world_frame,
R_AbarA=R_WL7_ref,
frameBbar=l7_frame,
R_BbarB=RotationMatrix.Identity(),
theta_bound=theta_bound)
# Position constraint
p_WQ = InterpolatePosition(p_WQ_start, p_WQ_end, num_knot_points, i)
ik.AddPositionConstraint(frameB=l7_frame,
p_BQ=p_L7Q,
frameA=world_frame,
p_AQ_lower=p_WQ - position_tolerance,
p_AQ_upper=p_WQ + position_tolerance)
prog = ik.prog()
# use the robot posture at the previous knot point as
# an initial guess.
prog.SetInitialGuess(q_variables, q_knots[i])
result = prog.Solve()
if is_printing:
print i, ": ", result
q_knots[i + 1] = prog.GetSolution(q_variables)
t_knots = np.linspace(0, duration, num_knot_points + 1)
q_knots_kuka = GetKukaQKnots(q_knots)
qtraj = PiecewisePolynomial.Cubic(t_knots, q_knots_kuka.T, np.zeros(7),
np.zeros(7))
return qtraj, q_knots
def InverseKinPointwise(InterpolatePosition,
InterpolateOrientation,
p_L7Q,
duration,
num_knot_points,
q_initial_guess,
position_tolerance=0.005,
theta_bound=0.005 * np.pi):
"""
Calculates a joint space trajectory for iiwa by repeatedly calling IK.
The returned trajectory has (num_knot_points) knot points. To improve
the continuity of the trajectory, the IK from which q_knots[i] is
solved is initialized with q_knots[i-1].
Positions for point Q (p_EQ) and orientations for the end effector, generated
respectively by InterpolatePosition and InterpolateOrientation,
are added to the IKs as constraints.
:param InterpolatePosition: A function with signature (tau) with
0 <= tau <= 1.
It returns p_WQ, a (3,) numpy array which describes the desired
position of Q. For example, to get p_WQ for knot point i, use
tau = i / (num_knot_points - 1).
:param InterpolateOrientation: A function with the same signature as
InterpolatePosition.
It returns R_WL7, a RotationMatrix which describes the desired
orientation of frame L7.
:param num_knot_points: number of knot points in the trajectory.
:param q_initial_guess: initial guess for the first IK.
:param position_tolerance: tolerance for IK position constraints in meters.
:param theta_bound: tolerance for IK orientation constraints in radians.
:param is_printing: whether the solution results of IKs are printed.
:return: qtraj: a 7-dimensional cubic polynomial that describes a
trajectory for the iiwa arm.
:return: q_knots: a (n, num_knot_points) numpy array (where n =
plant.num_positions()) that stores solutions returned by all IKs. It
can be used to initialize IKs for the next trajectory.
"""
q_knots = np.zeros((num_knot_points, plant.num_positions()))
################### Your code here ###################
for i in range(num_knot_points):
ik = inverse_kinematics.InverseKinematics(plant)
q_variables = ik.q()
# Orientation constraint
R_WL7_ref = InterpolateOrientation(i / (num_knot_points - 1))
ik.AddOrientationConstraint(
frameAbar=world_frame, R_AbarA=R_WL7_ref,
frameBbar=l7_frame, R_BbarB=RotationMatrix.Identity(),
theta_bound=theta_bound)
# Position constraint
p_WQ = InterpolatePosition(i / (num_knot_points - 1))
ik.AddPositionConstraint(
frameB=l7_frame, p_BQ=p_L7Q,
frameA=world_frame,
p_AQ_lower=p_WQ - position_tolerance,
p_AQ_upper=p_WQ + position_tolerance)
prog = ik.prog()
# use the robot configuration at the previous knot point as
# an initial guess.
if i > 0:
prog.SetInitialGuess(q_variables, q_knots[i-1])
else:
prog.SetInitialGuess(q_variables, q_initial_guess)
result = mp.Solve(prog)
# throw if no solution found.
if result.get_solution_result() != SolutionResult.kSolutionFound:
print(i, result.get_solution_result())
raise RuntimeError
q_knots[i] = result.GetSolution(q_variables)
t_knots = np.linspace(0, duration, num_knot_points)
qtraj = PiecewisePolynomial.Cubic(
t_knots, q_knots.T, np.zeros(7), np.zeros(7))
return qtraj, q_knots
########################################################
raise NotImplementedError