---
# System prepended metadata

title: Moveit basics
tags: [tm-arm]

---

```python=
from __future__ import print_function
from six.moves import input

import sys
import copy
import rospy
import moveit_commander
import moveit_msgs.msg
import geometry_msgs.msg
import numpy as np

try:
    from math import pi, tau, dist, fabs, cos
except:  # For Python 2 compatibility
    from math import pi, fabs, cos, sqrt

    tau = 2.0 * pi

    def dist(p, q):
        return sqrt(sum((p_i - q_i) ** 2.0 for p_i, q_i in zip(p, q)))


from std_msgs.msg import String
from moveit_commander.conversions import pose_to_list

## END_SUB_TUTORIAL


def all_close(goal, actual, tolerance):
    if type(goal) is list:
        for index in range(len(goal)):
            if abs(actual[index] - goal[index]) > tolerance:
                return False

    elif type(goal) is geometry_msgs.msg.PoseStamped:
        return all_close(goal.pose, actual.pose, tolerance)

    elif type(goal) is geometry_msgs.msg.Pose:
        x0, y0, z0, qx0, qy0, qz0, qw0 = pose_to_list(actual)
        x1, y1, z1, qx1, qy1, qz1, qw1 = pose_to_list(goal)
        # Euclidean distance
        d = dist((x1, y1, z1), (x0, y0, z0))
        # phi = angle between orientations
        cos_phi_half = fabs(qx0 * qx1 + qy0 * qy1 + qz0 * qz1 + qw0 * qw1)
        return d <= tolerance and cos_phi_half >= cos(tolerance / 2.0)

    return True


class MoveGroupPythonInterfaceTutorial(object):
    """MoveGroupPythonInterfaceTutorial"""

    def __init__(self):
        super(MoveGroupPythonInterfaceTutorial, self).__init__()

        ## BEGIN_SUB_TUTORIAL setup
        ##
        ## First initialize `moveit_commander`_ and a `rospy`_ node:
        moveit_commander.roscpp_initialize(sys.argv)
        rospy.init_node("move_group_python_interface_tutorial", anonymous=True)

        ## Instantiate a `RobotCommander`_ object. Provides information such as the robot's
        ## kinematic model and the robot's current joint states
        robot = moveit_commander.RobotCommander()

        ## Instantiate a `PlanningSceneInterface`_ object.  This provides a remote interface
        ## for getting, setting, and updating the robot's internal understanding of the
        ## surrounding world:
        scene = moveit_commander.PlanningSceneInterface()

        ## Instantiate a `MoveGroupCommander`_ object.  This object is an interface
        ## to a planning group (group of joints).  In this tutorial the group is the primary
        ## arm joints in the Panda robot, so we set the group's name to "panda_arm".
        ## If you are using a different robot, change this value to the name of your robot
        ## arm planning group.
        ## This interface can be used to plan and execute motions:
        group_name = "tmr_arm"
        move_group = moveit_commander.MoveGroupCommander(group_name)

        ## Create a `DisplayTrajectory`_ ROS publisher which is used to display
        ## trajectories in Rviz:
        display_trajectory_publisher = rospy.Publisher(
            "/move_group/display_planned_path",
            moveit_msgs.msg.DisplayTrajectory,
            queue_size=20,
        )


        planning_frame = move_group.get_planning_frame()

        eef_link = move_group.get_end_effector_link()


        # We can get a list of all the groups in the robot:
        group_names = robot.get_group_names()


        # Misc variables
        self.box_name = ""
        self.robot = robot
        self.scene = scene
        self.move_group = move_group
        self.display_trajectory_publisher = display_trajectory_publisher
        self.planning_frame = planning_frame
        self.eef_link = eef_link
        self.group_names = group_names

    def go_to_joint_state(self, q):

        move_group = self.move_group

        joint_goal = move_group.get_current_joint_values()
        joint_goal[0] = q[0] 
        joint_goal[1] = q[1]
        joint_goal[2] = q[2]
        joint_goal[3] = q[3]  #-tau / 4
        joint_goal[4] = q[4]
        joint_goal[5] = q[5]  # 1/6 of a turn


        # The go command can be called with joint values, poses, or without any
        # parameters if you have already set the pose or joint target for the group
        move_group.go(joint_goal, wait=True)

        # Calling ``stop()`` ensures that there is no residual movement
        move_group.stop()

        ## END_SUB_TUTORIAL

        # For testing:
        current_joints = move_group.get_current_joint_values()
        return all_close(joint_goal, current_joints, 0.01)

    def go_to_pose_goal(self, p):
        # Copy class variables to local variables to make the web tutorials more clear.
        # In practice, you should use the class variables directly unless you have a good
        # reason not to.
        move_group = self.move_group

        ## BEGIN_SUB_TUTORIAL plan_to_pose
        ##
        ## Planning to a Pose Goal
        ## ^^^^^^^^^^^^^^^^^^^^^^^
        ## We can plan a motion for this group to a desired pose for the
        ## end-effector:
        pose_goal = geometry_msgs.msg.Pose()
        #pose_goal.orientation.w = 0.5  #1.0
        pose_goal.position.x = p[0]
        pose_goal.position.y = p[1]
        pose_goal.position.z = p[2]
        pose_goal.orientation.x = p[3]
        pose_goal.orientation.y = p[4]
        pose_goal.orientation.z = p[5]
        pose_goal.orientation.w = p[6]

        move_group.set_pose_target(pose_goal)
        move_group.set_rpy_target([0, 0, 0.5])
 
        ## Now, we call the planner to compute the plan and execute it.
        # `go()` returns a boolean indicating whether the planning and execution was successful.
        success = move_group.go(wait=True)
        # Calling `stop()` ensures that there is no residual movement
        move_group.stop()
        # It is always good to clear your targets after planning with poses.
        # Note: there is no equivalent function for clear_joint_value_targets().
        move_group.clear_pose_targets()

        ## END_SUB_TUTORIAL

        # For testing:
        # Note that since this section of code will not be included in the tutorials
        # we use the class variable rather than the copied state variable
        current_pose = self.move_group.get_current_pose().pose
        return all_close(pose_goal, current_pose, 0.01)

    def plan_cartesian_path(self, scale=1):
        # Copy class variables to local variables to make the web tutorials more clear.
        # In practice, you should use the class variables directly unless you have a good
        # reason not to.
        move_group = self.move_group

        ## BEGIN_SUB_TUTORIAL plan_cartesian_path
        ##
        ## Cartesian Paths
        ## ^^^^^^^^^^^^^^^
        ## You can plan a Cartesian path directly by specifying a list of waypoints
        ## for the end-effector to go through. If executing  interactively in a
        ## Python shell, set scale = 1.0.
        ##
        waypoints = []

        wpose = move_group.get_current_pose().pose
        wpose.position.z -= scale * 0.2  # First move up (z)
        wpose.position.y -= scale * 0.2 # and sideways (y)
        waypoints.append(copy.deepcopy(wpose))

        wpose.position.z += scale * 0.2  # First move up (z)
        wpose.position.y += scale * 0.2 # and sideways (y)
        waypoints.append(copy.deepcopy(wpose))

        wpose.position.z += scale * 0.2  # First move up (z)
        wpose.position.y += scale * 0.2 # and sideways (y)
        waypoints.append(copy.deepcopy(wpose))

        wpose.position.y -= scale * 0.4 # and sideways (y)
        waypoints.append(copy.deepcopy(wpose))

        wpose.position.z -= scale * 0.4  # First move up (z)
        wpose.position.y += scale * 0.4 # and sideways (y)
        waypoints.append(copy.deepcopy(wpose))


        # We want the Cartesian path to be interpolated at a resolution of 1 cm
        # which is why we will specify 0.01 as the eef_step in Cartesian
        # translation.  We will disable the jump threshold by setting it to 0.0,
        # ignoring the check for infeasible jumps in joint space, which is sufficient
        # for this tutorial.
        (plan, fraction) = move_group.compute_cartesian_path(
            waypoints, 0.01, 0.0  # waypoints to follow  # eef_step
        )  # jump_threshold

        # Note: We are just planning, not asking move_group to actually move the robot yet:
        return plan, fraction

        ## END_SUB_TUTORIAL

    def display_trajectory(self, plan):
        # Copy class variables to local variables to make the web tutorials more clear.
        # In practice, you should use the class variables directly unless you have a good
        # reason not to.
        robot = self.robot
        display_trajectory_publisher = self.display_trajectory_publisher

        ## BEGIN_SUB_TUTORIAL display_trajectory
        ##
        ## Displaying a Trajectory
        ## ^^^^^^^^^^^^^^^^^^^^^^^
        ## You can ask RViz to visualize a plan (aka trajectory) for you. But the
        ## group.plan() method does this automatically so this is not that useful
        ## here (it just displays the same trajectory again):
        ##
        ## A `DisplayTrajectory`_ msg has two primary fields, trajectory_start and trajectory.
        ## We populate the trajectory_start with our current robot state to copy over
        ## any AttachedCollisionObjects and add our plan to the trajectory.
        display_trajectory = moveit_msgs.msg.DisplayTrajectory()
        display_trajectory.trajectory_start = robot.get_current_state()
        display_trajectory.trajectory.append(plan)
        # Publish
        display_trajectory_publisher.publish(display_trajectory)

        ## END_SUB_TUTORIAL

    def execute_plan(self, plan):
        # Copy class variables to local variables to make the web tutorials more clear.
        # In practice, you should use the class variables directly unless you have a good
        # reason not to.
        move_group = self.move_group

        ## BEGIN_SUB_TUTORIAL execute_plan
        ##
        ## Executing a Plan
        ## ^^^^^^^^^^^^^^^^
        ## Use execute if you would like the robot to follow
        ## the plan that has already been computed:
        move_group.execute(plan, wait=True)

        ## **Note:** The robot's current joint state must be within some tolerance of the
        ## first waypoint in the `RobotTrajectory`_ or ``execute()`` will fail
        ## END_SUB_TUTORIAL

    def wait_for_state_update(
        self, box_is_known=False, box_is_attached=False, timeout=4
    ):
        # Copy class variables to local variables to make the web tutorials more clear.
        # In practice, you should use the class variables directly unless you have a good
        # reason not to.
        box_name = self.box_name
        scene = self.scene

        ## BEGIN_SUB_TUTORIAL wait_for_scene_update
        ##
        ## Ensuring Collision Updates Are Received
        ## ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        ## If the Python node was just created (https://github.com/ros/ros_comm/issues/176),
        ## or dies before actually publishing the scene update message, the message
        ## could get lost and the box will not appear. To ensure that the updates are
        ## made, we wait until we see the changes reflected in the
        ## ``get_attached_objects()`` and ``get_known_object_names()`` lists.
        ## For the purpose of this tutorial, we call this function after adding,
        ## removing, attaching or detaching an object in the planning scene. We then wait
        ## until the updates have been made or ``timeout`` seconds have passed.
        ## To avoid waiting for scene updates like this at all, initialize the
        ## planning scene interface with  ``synchronous = True``.
        start = rospy.get_time()
        seconds = rospy.get_time()
        while (seconds - start < timeout) and not rospy.is_shutdown():
            # Test if the box is in attached objects
            attached_objects = scene.get_attached_objects([box_name])
            is_attached = len(attached_objects.keys()) > 0

            # Test if the box is in the scene.
            # Note that attaching the box will remove it from known_objects
            is_known = box_name in scene.get_known_object_names()

            # Test if we are in the expected state
            if (box_is_attached == is_attached) and (box_is_known == is_known):
                return True

            # Sleep so that we give other threads time on the processor
            rospy.sleep(0.1)
            seconds = rospy.get_time()

        # If we exited the while loop without returning then we timed out
        return False
        ## END_SUB_TUTORIAL

    def check_joint_state(self):
        move_group = self.move_group
        joint_goal = move_group.get_current_joint_values()
        
        return joint_goal
    
    def check_pose_state(self):
        move_group = self.move_group
        pose = move_group.get_current_pose().pose
        x = pose.position.x
        y = pose.position.y
        z = pose.position.z
        a = pose.orientation.x
        b = pose.orientation.y
        c = pose.orientation.z
        d = pose.orientation.w

        return np.array([x,y,z,a,b,c,d])




def main():
    tutorial = MoveGroupPythonInterfaceTutorial()
    try:
        q = np.array([0,0,90,-90,90,0])/180*pi
        p = np.array([0.3,0,0.5,0,0,0,1])

        tutorial.go_to_joint_state(q)
        rospy.sleep(0.1)

        tutorial.plan_cartesian_path()
        cartesian_plan, fraction = tutorial.plan_cartesian_path()
        tutorial.execute_plan(cartesian_plan)

        #tutorial.go_to_pose_goal(p)
        rospy.sleep(0.1)

        q_now = tutorial.check_joint_state()
        print(q_now)

        p_now = tutorial.check_pose_state()
        print(p_now)

    except rospy.ROSInterruptException:
        return
    except KeyboardInterrupt:
        return


if __name__ == "__main__":
    main()
```