<reponame>ERP1234/5DOF_Robot_arm
#!/usr/bin/env python2

import sys
import copy
import rospy
import moveit_commander
import moveit_msgs.msg
import geometry_msgs.msg
from math import pi
from std_msgs.msg import String
from moveit_commander.conversions import pose_to_list

moveit_commander.roscpp_initialize(sys.argv)
rospy.init_node('move_group_python_interface',
                anonymous=True)


scene = moveit_commander.PlanningSceneInterface()

scene = moveit_commander.PlanningSceneInterface()

group_name = "arm1"
group = moveit_commander.MoveGroupCommander(group_name)

display_trajectory_publisher = rospy.Publisher('/move_group/display_planned_path',
                                               moveit_msgs.msg.DisplayTrajectory,
                                               queue_size=20)

# We can get the name of the reference frame for this robot:
planning_frame = group.get_planning_frame()
print "============ Reference frame: %s" % planning_frame

# We can also print the name of the end-effector link for this group:
#eef_link = group.get_end_effector_link()
#print "============ End effector: %s" % eef_link

# We can get a list of all the groups in the robot:
group_names = robot.get_group_names()
print "============ Robot Groups:", robot.get_group_names()

# Sometimes for debugging it is useful to print the entire state of the
# robot:
print "============ Printing robot state"
print robot.get_current_state()
print ""

#planning a joint goal
# We can get the joint values from the group and adjust some of the values:
joint_goal = group.get_current_joint_values()
joint_goal[0] = pi/2
joint_goal[1] = 0
joint_goal[2] = pi/2


# 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
group.go(joint_goal, wait=True)

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


##planing for a pose for the end effector
#pose_goal = geometry_msgs.msg.Pose()
#pose_goal.orientation.w = 1.0
#pose_goal.position.x = 0.4
#pose_goal.position.y = 0.1
#pose_goal.position.z = 0.4
#group.set_pose_target(pose_goal)

#now we call the planner to plan the movement.
plan = group.go(wait=True)
# Calling `stop()` ensures that there is no residual movement
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()
group.clear_pose_targets()

#moveing in cartesian co ordinates => giving the end effector waypoints
waypoints = []

wpose = group.get_current_pose().pose
wpose.position.z -= scale * 0.1  # First move up (z)
wpose.position.y += scale * 0.2  # and sideways (y)
waypoints.append(copy.deepcopy(wpose))

wpose.position.x += scale * 0.1  # Second move forward/backwards in (x)
waypoints.append(copy.deepcopy(wpose))

wpose.position.y -= scale * 0.1  # Third move 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 disabling:
(plan, fraction) = group.compute_cartesian_path(
                                   waypoints,   # waypoints to follow
                                   0.01,        # eef_step
                                   0.005)         # jump_threshold - Benjamin changed

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

#execute the plan
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
