Ejemplo n.º 1
0
def do_main():
    rospy.init_node('simple_teleop', anonymous=True)

    # setup listener for tf2s (used for ee and controller poses)
    tfBuffer = tf2_ros.Buffer()
    listener = tf2_ros.TransformListener(tfBuffer)
    robotSubscriber = JointStateSubscriber("/joint_states")
    
    # wait until robot state found
    robotSubscriber = ros_utils.JointStateSubscriber("/joint_states")
    print("Waiting for full kuka state...")
    while len(robotSubscriber.joint_positions.keys()) < 3:
        rospy.sleep(0.1)
    print("got full state")

    # init gripper
    handDriver = SchunkDriver()
    
    # init mouse manager
    mouse_manager = TeleopMouseManager()
    roll_goal = 0.0
    yaw_goal = 0.0
    pitch_goal = 0.0

    # Start by moving to an above-table pregrasp pose that we know
    # EE control will work well from (i.e. far from singularity)

    stored_poses_dict = spartan_utils.getDictFromYamlFilename("../station_config/RLG_iiwa_1/stored_poses.yaml")
    above_table_pre_grasp = stored_poses_dict["Grasping"]["above_table_pre_grasp"]
    
    robotService = ros_utils.RobotService.makeKukaRobotService()
    success = robotService.moveToJointPosition(above_table_pre_grasp, timeout=5)
    print("Moved to position")

    gripper_goal_pos = 0.0
    handDriver.sendGripperCommand(gripper_goal_pos, speed=0.1, timeout=0.01)
    print("sent close goal to gripper")
    time.sleep(2)
    gripper_goal_pos = 0.1
    handDriver.sendGripperCommand(gripper_goal_pos, speed=0.1, timeout=0.01)
    print("sent open goal to gripper")

    frame_name = "iiwa_link_ee" # end effector frame name

    for i in range(10):
        if i == 9:
            print "Couldn't find robot pose"
            sys.exit(0)
        try:
            ee_pose_above_table = ros_utils.poseFromROSTransformMsg(
                tfBuffer.lookup_transform("base", frame_name, rospy.Time()).transform)
            ee_tf_above_table = tf_matrix_from_pose(ee_pose_above_table)
            break
        except (tf2_ros.LookupException, tf2_ros.ConnectivityException, tf2_ros.ExtrapolationException):
            print("Troubling looking up robot pose...")
            time.sleep(0.1)

    # Then kick off task space streaming
    sp = rospy.ServiceProxy('plan_runner/init_task_space_streaming',
        robot_msgs.srv.StartStreamingPlan)
    init = robot_msgs.srv.StartStreamingPlanRequest()
    init.force_guard.append(make_force_guard_msg(20.))
    res = sp(init)
    
    print("Started task space streaming")
    pub = rospy.Publisher('plan_runner/task_space_streaming_setpoint',
        robot_msgs.msg.CartesianGoalPoint, queue_size=1);


    def cleanup():
        rospy.wait_for_service("plan_runner/stop_plan")
        sp = rospy.ServiceProxy('plan_runner/stop_plan',
            std_srvs.srv.Trigger)
        init = std_srvs.srv.TriggerRequest()
        print sp(init)
        print("Done cleaning up and stopping streaming plan")

    rospy.on_shutdown(cleanup)
    br = tf.TransformBroadcaster()
    rate = rospy.Rate(100) # max rate at which control should happen


    ee_tf_last_commanded = np.zeros((4,4))
    def get_initial_pose():
        while not rospy.is_shutdown():
            # get current tf from ros world to ee
            try:
                ee_pose_current = ros_utils.poseFromROSTransformMsg(
                    tfBuffer.lookup_transform("base", frame_name, rospy.Time()).transform)
                ee_tf_last_commanded = tf_matrix_from_pose(ee_pose_current)
                return ee_tf_last_commanded
            except (tf2_ros.LookupException, tf2_ros.ConnectivityException, tf2_ros.ExtrapolationException):
                print("Troubling looking up robot pose...")
                rate.sleep()
                continue

    print ee_tf_last_commanded
    ee_tf_last_commanded = get_initial_pose()
    print ee_tf_last_commanded

    sys.path.append("../imitation_tools/scripts")
    from capture_imitation_data_client import start_bagging_imitation_data_client, stop_bagging_imitation_data_client
    start_bagging_imitation_data_client()
    
    pose_save_counter = 0
    saved_pose_dict = dict()
    saved_pose_counter = 0

    try:

        # control loop
        while not rospy.is_shutdown():
          
            # # get teleop mouse
            events = mouse_manager.get_events()

            if events["r"]:
                print above_table_pre_grasp
                print "that was above_table_pre_grasp"
                success = robotService.moveToJointPosition(above_table_pre_grasp, timeout=3)
                roll_goal = 0.0
                yaw_goal = 0.0
                pitch_goal = 0.0
                ee_tf_last_commanded = get_initial_pose()
                continue

            pose_save_counter += 1
            if events["o"] and pose_save_counter >= 100: # this make it not happen to much
                joint_name_list = ['iiwa_joint_1', 'iiwa_joint_2', 'iiwa_joint_3', 'iiwa_joint_4', 'iiwa_joint_5', 'iiwa_joint_6', 'iiwa_joint_7']
                joint_position_vector = robotSubscriber.get_position_vector_from_joint_names(joint_name_list)
                print joint_position_vector
                print "joint positions saved"
                new_pose_name = "pose_"+str(saved_pose_counter).zfill(3)
                saved_pose_counter += 1
                saved_pose_dict[new_pose_name] = joint_position_vector.tolist()
                pose_save_counter = 0

            if events["escape"]:
                stop_bagging_imitation_data_client()
                if len(saved_pose_dict) > 0:
                    spartan_utils.saveToYaml(saved_pose_dict, "saved_poses.yaml")
                sys.exit(0)
            
            scale_down = 0.0001
            delta_x = events["delta_x"]*scale_down
            delta_y = events["delta_y"]*-scale_down

            delta_forward = 0.0
            forward_scale = 0.001
            if events["w"]:
                delta_forward -= forward_scale
            if events["s"]:
                delta_forward += forward_scale

            # extract and normalize quat from tf
            if events["rotate_left"]:
                roll_goal += 0.01
            if events["rotate_right"]:
                roll_goal -= 0.01
            roll_goal = np.clip(roll_goal, a_min = -0.9, a_max = 0.9)
            
            if events["side_button_back"]:
                yaw_goal += 0.01
                print("side button back")
            if events["side_button_forward"]:
                yaw_goal -= 0.01
                print("side side_button_forward")
            yaw_goal = np.clip(yaw_goal, a_min = -1.314, a_max = 1.314)

            if events["d"]:
                pitch_goal += 0.01
            if events["a"]:
                pitch_goal -= 0.01
            pitch_goal = np.clip(pitch_goal, a_min = -1.314, a_max = 1.314)


            R = transformations.euler_matrix(pitch_goal, roll_goal, yaw_goal, 'syxz')
            # third is "yaw", when in above table pre-grasp
            # second is "roll", ''
            # first must be "pitch"

            above_table_quat_ee = transformations.quaternion_from_matrix(R.dot(ee_tf_above_table))
            above_table_quat_ee = np.array(above_table_quat_ee) / np.linalg.norm(above_table_quat_ee)

            # calculate controller position delta and add to start position to get target ee position
            target_translation = np.asarray([delta_forward, delta_x, delta_y])
            empty_matrx = np.zeros_like(ee_tf_last_commanded)
            empty_matrx[:3, 3] = target_translation
            ee_tf_last_commanded += empty_matrx
            target_trans_ee = ee_tf_last_commanded[:3, 3]
            

            # publish target pose as cartesian goal point
            new_msg = robot_msgs.msg.CartesianGoalPoint()
            new_msg.xyz_point.header.stamp = rospy.Time.now()
            new_msg.xyz_point.header.frame_id = "world"
            new_msg.xyz_point.point.x = target_trans_ee[0]
            new_msg.xyz_point.point.y = target_trans_ee[1]
            new_msg.xyz_point.point.z = target_trans_ee[2]
            new_msg.xyz_d_point.x = 0.0
            new_msg.xyz_d_point.y = 0.0
            new_msg.xyz_d_point.z = 0.0
            new_msg.quaternion.w = above_table_quat_ee[0]
            new_msg.quaternion.x = above_table_quat_ee[1]
            new_msg.quaternion.y = above_table_quat_ee[2]
            new_msg.quaternion.z = above_table_quat_ee[3]
            new_msg.roll = roll_goal 
            new_msg.pitch = pitch_goal
            new_msg.yaw = yaw_goal
            new_msg.gain = make_cartesian_gains_msg(5., 10.)
            new_msg.ee_frame_id = frame_name
            pub.publish(new_msg)

            #gripper
            if events["mouse_wheel_up"]:
                gripper_goal_pos += 0.006
            if events["mouse_wheel_down"]:
                gripper_goal_pos -= 0.006
            if gripper_goal_pos < 0:
                gripper_goal_pos = 0.0
            if gripper_goal_pos > 0.1:
                gripper_goal_pos = 0.1
            
            handDriver.sendGripperCommand(gripper_goal_pos, speed=0.2, stream=True)

            rate.sleep()



    except Exception as e:
        print "Suffered exception ", e
Ejemplo n.º 2
0
def do_main():
    rospy.init_node('gamepad_teleop', anonymous=True)

    tfBuffer = tf2_ros.Buffer()
    listener = tf2_ros.TransformListener(tfBuffer)
    robotSubscriber = JointStateSubscriber("/joint_states")

    robotSubscriber = ros_utils.JointStateSubscriber("/joint_states")
    rospy.loginfo("Waiting for full kuka state...")
    while len(robotSubscriber.joint_positions.keys()) < 3:
        rospy.sleep(0.1)
    rospy.loginfo("got full state")

    rospy.loginfo("Grabbing controller...")
    pygame.init()
    pygame.joystick.init()
    joysticks = [
        pygame.joystick.Joystick(x) for x in range(pygame.joystick.get_count())
    ]
    rospy.loginfo("Found %d controllers" % len(joysticks))
    if len(joysticks) == 0:
        rospy.logerr("Didn't find a controller :(.")
        sys.exit(-1)
    joystick = joysticks[0]
    joystick.init()
    rospy.loginfo("Using joystick %s" % joystick.get_name())

    handDriver = SchunkDriver()
    gripper_goal_pos = 0.1

    # Start by moving to an above-table pregrasp pose that we know
    # EE control will work well from (i.e. far from singularity)
    above_table_pre_grasp = [
        0.04486168762069299, 0.3256606458812486, -0.033502080520812445,
        -1.5769091802934694, 0.05899249087322813, 1.246379583616529,
        0.38912999977004026
    ]
    robotService = ros_utils.RobotService.makeKukaRobotService()
    success = robotService.moveToJointPosition(above_table_pre_grasp,
                                               timeout=5)
    print("Moved to position")
    # Then kick off task space streaming
    sp = rospy.ServiceProxy('plan_runner/init_task_space_streaming',
                            robot_msgs.srv.StartStreamingPlan)
    init = robot_msgs.srv.StartStreamingPlanRequest()
    init.force_guard.append(make_force_guard_msg(20.))
    print sp(init)
    print("Started task space streaming")

    pub = rospy.Publisher('plan_runner/task_space_streaming_setpoint',
                          robot_msgs.msg.CartesianGoalPoint,
                          queue_size=1)

    tf_ee = None

    def cleanup():
        rospy.wait_for_service("plan_runner/stop_plan")
        sp = rospy.ServiceProxy('plan_runner/stop_plan', std_srvs.srv.Trigger)
        init = std_srvs.srv.TriggerRequest()
        print sp(init)
        print("Done cleaning up and stopping streaming plan")

    frame_name = "iiwa_link_ee"
    # origin_tf, in the above EE frame
    origin_tf = transformations.euler_matrix(0.0, 0., 0.)
    origin_tf[0:3, 3] = np.array([0.15, 0.0, 0.0])
    origin_tf_inv = np.linalg.inv(origin_tf)

    rospy.on_shutdown(cleanup)
    br = tf.TransformBroadcaster()

    try:
        last_gripper_update_time = time.time()
        last_update_time = time.time()
        while not rospy.is_shutdown():
            #for axis_i in range(joystick.get_numaxes()):
            #    rospy.loginfo("Axis %d: %f" % (axis_i, joystick.get_axis(axis_i)))
            #for button_i in range(joystick.get_numbuttons()):
            #    rospy.loginfo("Button %d: %f" % (button_i, joystick.get_button(button_i)))
            #time.sleep(0.5)

            # Gamepad: Logitech 310
            # DPad: Axis 1 +1 is down
            #       Axis 0 +1 is right
            # Left stick: Axis 7 +1 is down
            #             Axis 6 +1 is right
            # Right stick: Axis 3 +1 is right
            #              Axis 4 +1 is down
            # Left bumper: Button 4
            # Right bumper: Button 5
            gripper_dt = time.time() - last_gripper_update_time
            dt = time.time() - last_update_time
            pygame.event.pump()
            if gripper_dt > 0.2:
                last_gripper_update_time = time.time()
                gripper_goal_pos += (joystick.get_button(5) -
                                     joystick.get_button(4)) * dt * 0.05
                gripper_goal_pos = max(min(gripper_goal_pos, 0.1), 0.0)
                handDriver.sendGripperCommand(gripper_goal_pos,
                                              speed=0.1,
                                              timeout=0.01)
                print "Gripper goal pos: ", gripper_goal_pos
                br.sendTransform(
                    origin_tf[0:3, 3],
                    ro(transformations.quaternion_from_matrix(origin_tf)),
                    rospy.Time.now(), "origin_tf", frame_name)

            try:
                current_pose_ee = ros_utils.poseFromROSTransformMsg(
                    tfBuffer.lookup_transform("base", frame_name,
                                              rospy.Time()).transform)
            except (tf2_ros.LookupException, tf2_ros.ConnectivityException,
                    tf2_ros.ExtrapolationException):
                print("Troubling looking up tf...")
                rate.sleep()
                continue

            if dt > 0.01:
                last_update_time = time.time()
                if tf_ee is None:
                    tf_ee = tf_matrix_from_pose(current_pose_ee)

                tf_ee[0, 3] += -1. * joystick.get_axis(7) * dt * 0.25
                tf_ee[1, 3] += -1. * joystick.get_axis(6) * dt * 0.25
                tf_ee[2, 3] += -1. * joystick.get_axis(4) * dt * 0.25

                dr = -1. * joystick.get_axis(0) * dt
                dp = 1. * joystick.get_axis(1) * dt
                dy = -1. * joystick.get_axis(3) * dt
                tf_ee = tf_ee.dot(transformations.euler_matrix(dr, 0., 0.))
                tf_ee = tf_ee.dot(transformations.euler_matrix(0, dp, 0.))
                tf_ee = tf_ee.dot(transformations.euler_matrix(0., 0., dy))

                target_trans_ee = tf_ee[:3, 3]
                target_quat_ee = transformations.quaternion_from_matrix(tf_ee)

                new_msg = robot_msgs.msg.CartesianGoalPoint()
                new_msg.xyz_point.header.frame_id = "world"
                new_msg.xyz_point.point.x = target_trans_ee[0]
                new_msg.xyz_point.point.y = target_trans_ee[1]
                new_msg.xyz_point.point.z = target_trans_ee[2]
                new_msg.xyz_d_point.x = 0.
                new_msg.xyz_d_point.y = 0.
                new_msg.xyz_d_point.z = 0.0
                new_msg.quaternion.w = target_quat_ee[0]
                new_msg.quaternion.x = target_quat_ee[1]
                new_msg.quaternion.y = target_quat_ee[2]
                new_msg.quaternion.z = target_quat_ee[3]
                new_msg.gain = make_cartesian_gains_msg(5., 10.)
                new_msg.ee_frame_id = frame_name
                pub.publish(new_msg)

    except Exception as e:
        print "Suffered exception ", e
Ejemplo n.º 3
0
def do_main():
    rospy.init_node('sandbox', anonymous=True)

    tfBuffer = tf2_ros.Buffer()
    listener = tf2_ros.TransformListener(tfBuffer)
    robotSubscriber = JointStateSubscriber("/joint_states")
    
    robotSubscriber = ros_utils.JointStateSubscriber("/joint_states")
    print("Waiting for full kuka state...")
    while len(robotSubscriber.joint_positions.keys()) < 3:
        rospy.sleep(0.1)
    print("got full state")

    hydraSubscriber = SimpleSubscriber("/hydra_calib", razer_hydra.msg.Hydra)
    hydraSubscriber.start()
    print("Waiting for hydra startup...")
    hydraSubscriber.waitForNextMessage()
    print("Got hydra.")

    handDriver = SchunkDriver()
    gripper_goal_pos = 0.1

    # Start by moving to an above-table pregrasp pose that we know
    # EE control will work well from (i.e. far from singularity)
    above_table_pre_grasp = [0.04486168762069299, 0.3256606458812486, -0.033502080520812445, -1.5769091802934694, 0.05899249087322813, 1.246379583616529, 0.38912999977004026]
    robotService = ros_utils.RobotService.makeKukaRobotService()
    success = robotService.moveToJointPosition(above_table_pre_grasp, timeout=5)
    print("Moved to position")
    # Then kick off task space streaming
    sp = rospy.ServiceProxy('plan_runner/init_task_space_streaming',
        robot_msgs.srv.StartStreamingPlan)
    init = robot_msgs.srv.StartStreamingPlanRequest()
    init.force_guard.append(make_force_guard_msg(20.))
    print sp(init)
    print("Started task space streaming")


    pub = rospy.Publisher('plan_runner/task_space_streaming_setpoint',
        robot_msgs.msg.CartesianGoalPoint, queue_size=1)

    # Control of robot works like this:
    #   When the user is pressing no buttons on the
    #   wand, nothing happens.
    #   When the user depresses the top front trigger of
    #   the wand (button index 0), the current wand position
    #   is memorized as the origin, and any movement of the
    #   wand from there is executed as incremental
    #   movements of the end effector of the robot.
    #   When the user releases the top front trigger, control
    #   is ceased and pressing the button again re-zeros the robot.

    paddle_index = 0
    enable_move_button_index = 0
    enable_move_button_last_state = False
    start_pose_wand = None
    start_tf_ee = None

    #safe_space_bounds = np.array([
    #    [-0.1525049945545604, -0.29228035558728516, 0.13544803250537002],
    #    [-0.4769166944956231, -0.35229338435348867, 0.19769445898112134],
    #    [-0.457830238829753, 0.20935562473070765, 0.21958282208421853],
    #    [-0.11156388045357436, 0.19961179929244402, 0.26618401754649285],
    #    [-0.10225744036375771, 0.22933143089985508, 0.48444059628986263],
    #    [-0.14861448807866284, -0.41030619355456643, 0.4648083304072826],
    #    [-0.5242759491071456, -0.4147275210829423, 0.4948555294112139],
    #    [-0.4847194053597296, 0.27176780719677074, 0.45391525596908033],
    #    [-0.17358753502356636, 0.18660040610810102, 0.15775990744092278],
    #    [-0.45109038331994794, 0.20434001341514574, 0.09804323148032473],
    #    [-0.4716416007082929, -0.3620164988593509, 0.12965905105466402],
    #    [-0.16130783846258154, -0.3208282816424661, 0.109649432666865]])
    # Reasonable inner bounding box
    safe_space_lower = np.array([-0.45, -0.35, 0.125])
    safe_space_upper = np.array([-0.15, 0.2, 0.45])
    safe_space_violation = False
    last_safe_space_complaint = time.time() - 1000.

    def cleanup():
        rospy.wait_for_service("plan_runner/stop_plan")
        sp = rospy.ServiceProxy('plan_runner/stop_plan',
            std_srvs.srv.Trigger)
        init = std_srvs.srv.TriggerRequest()
        print sp(init)
        print("Done cleaning up and stopping streaming plan")

    frame_name = "iiwa_link_ee"
    # origin_tf, in the above EE frame
    origin_tf = transformations.euler_matrix(0.0, 0., 0.)
    origin_tf[0:3, 3] = np.array([0.15, 0.0, 0.0])
    origin_tf_inv = np.linalg.inv(origin_tf)

    rospy.on_shutdown(cleanup)
    br = tf.TransformBroadcaster()

    try:
        last_gripper_update_time = time.time()
        last_button_1_status = False
        while not rospy.is_shutdown():
            latest_hydra_msg = hydraSubscriber.waitForNextMessage(sleep_duration=0.0001)
            dt = time.time() - last_gripper_update_time
            if dt > 0.2:
                last_gripper_update_time = time.time()
                gripper_goal_pos += latest_hydra_msg.paddles[0].joy[0]*dt*0.05
                gripper_goal_pos = max(min(gripper_goal_pos, 0.1), 0.0)
                handDriver.sendGripperCommand(gripper_goal_pos, speed=0.1, timeout=0.01)
                print "Gripper goal pos: ", gripper_goal_pos
                br.sendTransform(origin_tf[0:3, 3],
                                 ro(transformations.quaternion_from_matrix(origin_tf)),
                                 rospy.Time.now(),
                                 "origin_tf",
                                 frame_name)

            try:
                current_pose_ee = ros_utils.poseFromROSTransformMsg(
                    tfBuffer.lookup_transform("base", frame_name, rospy.Time()).transform)
            except (tf2_ros.LookupException, tf2_ros.ConnectivityException, tf2_ros.ExtrapolationException):
                print("Troubling looking up tf...")
                rate.sleep()
                continue

            # Check if the move button is press
            hydra_status = latest_hydra_msg.paddles[paddle_index]

            # Difference in tf from initial TF
            current_pose_wand = ros_utils.poseFromROSTransformMsg(hydra_status.transform)
            if hydra_status.buttons[1] and hydra_status.buttons[1] != last_button_1_status:
                print "Current wand pose: ", current_pose_wand
            wand_trans = np.array(current_pose_wand[0])
            if np.any(wand_trans <= safe_space_lower) or np.any(wand_trans >= safe_space_upper):
                if time.time() - last_safe_space_complaint > 0.5:
                    print "Safe space violation: ", wand_trans
                    last_safe_space_complaint = time.time()
                safe_space_violation = True

            if hydra_status.buttons[enable_move_button_index] is False:
                enable_move_button_last_state = False
                safe_space_violation = False
            elif safe_space_violation is False:
                if enable_move_button_last_state is False:
                    start_pose_wand = ros_utils.poseFromROSTransformMsg(hydra_status.transform)
                    start_tf_wand = tf_matrix_from_pose(start_pose_wand)
                    start_pose_ee = current_pose_ee
                    start_tf_ee = tf_matrix_from_pose(start_pose_ee)
                    enable_move_button_last_state = True


                last_button_1_status = hydra_status.buttons[1]

                # These expect quat in x y z w, rather than our normal w x y z
                br.sendTransform(start_pose_wand[0], ro(start_pose_wand[1]),
                                 rospy.Time.now(),
                                 "start_pose_wand",
                                 "base")
                br.sendTransform(current_pose_wand[0], ro(current_pose_wand[1]),
                                 rospy.Time.now(),
                                 "current_pose_wand",
                                 "base")
                br.sendTransform(start_pose_ee[0], ro(start_pose_ee[1]),
                                 rospy.Time.now(),
                                 "start_pose_ee",
                                 "base")

                hydra_tf = get_relative_tf_between_poses(start_pose_wand, current_pose_wand)

                # Target TF for the EE will be its start TF plus this offset
                rot_slerp_amount = 1.0
                trans_slerp_amount = 1.0

                tf_in_ee_frame = origin_tf.dot(hydra_tf).dot(origin_tf_inv)

                br.sendTransform(tf_in_ee_frame[0:3, 3],
                                 ro(transformations.quaternion_from_matrix(tf_in_ee_frame)),
                                 rospy.Time.now(),
                                 "tf_in_ee_frame",
                                 "base")

                start_tf_ee_inv = np.linalg.inv(start_tf_ee)
                target_tf_ee = start_tf_ee.copy()
                target_tf_ee[0:3, 3] += tf_in_ee_frame[0:3, 3] # copy position change in world frame
                target_tf_ee[0:3, 0:3] = tf_in_ee_frame[0:3, 0:3].dot(target_tf_ee[0:3, 0:3])

                br.sendTransform(target_tf_ee[0:3, 3],
                                 ro(transformations.quaternion_from_matrix(target_tf_ee)),
                                 rospy.Time.now(),
                                 "target_tf_ee",
                                 "base")

                target_trans_ee = trans_slerp_amount*target_tf_ee[:3, 3] + (1. - trans_slerp_amount)*np.array(start_pose_ee[0])
                target_quat_ee = transformations.quaternion_slerp(
                    np.array(start_pose_ee[1]),
                    transformations.quaternion_from_matrix(target_tf_ee),
                    rot_slerp_amount)
                target_quat_ee = np.array(target_quat_ee) / np.linalg.norm(target_quat_ee)

                br.sendTransform(target_trans_ee,
                                 ro(target_quat_ee),
                                 rospy.Time.now(),
                                 "target_tf_ee_interp",
                                 "base")

                new_msg = robot_msgs.msg.CartesianGoalPoint()
                new_msg.xyz_point.header.frame_id = "world"
                new_msg.xyz_point.point.x = target_trans_ee[0]
                new_msg.xyz_point.point.y = target_trans_ee[1]
                new_msg.xyz_point.point.z = target_trans_ee[2]
                new_msg.xyz_d_point.x = 0.
                new_msg.xyz_d_point.y = 0.
                new_msg.xyz_d_point.z = 0.0
                new_msg.quaternion.w = target_quat_ee[0]
                new_msg.quaternion.x = target_quat_ee[1]
                new_msg.quaternion.y = target_quat_ee[2]
                new_msg.quaternion.z = target_quat_ee[3]
                new_msg.gain = make_cartesian_gains_msg(5., 10.)
                new_msg.ee_frame_id = frame_name
                pub.publish(new_msg)

    except Exception as e:
        print "Suffered exception ", e