def place(self, arm, obj_name, pose):
'''
places the given object with the given arm in the give pose.
@type arm: String
@param arm: 'left_arm' or 'right_arm'. arm to place
@type obj_name: String
@param obj_name: name of the object being placed from the collision map
@type pose: PoseStamped
@param pose: pose to place the object
@rtype: boolean
@returns whether the place was successful
'''
try:
if arm == "right_arm":
place_goal = PlaceGoal('right_arm', [pose],
collision_support_surface_name='all',
collision_object_name=obj_name)
else:
place_goal = PlaceGoal('left_arm', [pose],
collision_support_surface_name='table',
collision_object_name=obj_name)
print "ABOUT TO PLACE"
doodie = self.pickplace.place(place_goal)
print "doodie=" + str(doodie)
except ManipulationError:
rospy.loginfo("POSE FAILED")
return False
return True
def pickplace_main():
rospy.loginfo('Waiting for action')
rospy.loginfo('Doing detection')
detector = TablewareDetection()
det = detector.detect_objects(add_objects_as_mesh=False)
if not det.pickup_goals:
rospy.loginfo('Nothing to pick up!')
return
wi = WorldInterface()
psi = get_planning_scene_interface()
add_map_tables(wi)
psi.reset()
client = SimpleActionClient('/darrt_planning/darrt_action', DARRTAction)
client.wait_for_server()
goal = DARRTGoal()
goal.pickup_goal = det.pickup_goals[0]
goal.pickup_goal.lift_distance = 0.3
goal.pickup_goal.arm_name = 'right_arm'
place_pose_stamped = PoseStamped()
place_pose_stamped.header.frame_id = wi.world_frame
place_pose_stamped.pose.position.x = -1.3
place_pose_stamped.pose.position.y = 0.7
if 'graspable' in goal.pickup_goal.collision_object_name:
place_pose_stamped.pose.position.z = 0.8
else:
place_pose_stamped.pose.position.z = 0.75
place_pose_stamped.pose.orientation.w = 1.0
goal.place_goal = PlaceGoal(goal.pickup_goal.arm_name, [place_pose_stamped],
collision_support_surface_name = 'serving_table',
collision_object_name = goal.pickup_goal.collision_object_name)
goal.primitives = [goal.PICK, goal.PLACE, goal.BASE_TRANSIT]
goal.object_sampling_fraction = 0.3
goal.retreat_distance = 0.3
goal.debug_level = 2
goal.do_pause = False
goal.execute = False
goal.planning_time = 30
goal.tries = 10
goal.goal_bias = 0.2
average_time = 0.0
rospy.loginfo('First place goal is\n'+str(goal.place_goal.place_locations[0]))
rospy.loginfo('Restart after '+str(goal.planning_time))
for i in range(NTRIALS):
rospy.loginfo('Sending goal')
client.send_goal_and_wait(goal)
rospy.loginfo('Returned')
result = client.get_result()
if result.error_code != result.SUCCESS:
rospy.logerr('Something went wrong! Error '+str(result.error_code)+'. We had '+str(i)+
' successful trials with an average time of '+str(average_time/float(i)))
return
average_time += result.planning_time
rospy.loginfo('TRIAL '+str(i)+': '+str(result.planning_time))
rospy.loginfo(str(NTRIALS)+' averaged '+str(average_time/float(NTRIALS))+' seconds to solve')
def main():
client = SimpleActionClient('/darrt_planning/darrt_action', DARRTAction)
pub = rospy.Publisher('darrt_trajectory', MarkerArray)
rospy.loginfo('Waiting for action')
rospy.loginfo('Doing detection')
detector = TablewareDetection()
det = detector.detect_objects(add_objects_as_mesh=False)
if not det.pickup_goals:
rospy.loginfo('Nothing to pick up!')
return
client.wait_for_server()
goal = DARRTGoal()
goal.pickup_goal = det.pickup_goals[0]
goal.pickup_goal.arm_name = 'right_arm'
place_pose_stamped = PoseStamped()
place_pose_stamped.header.frame_id = 'map'
place_pose_stamped.pose.position.x -= 1.3
place_pose_stamped.pose.position.y -= 0.3
place_pose_stamped.pose.position.z = 0.98
goal.place_goal = PlaceGoal(goal.pickup_goal.arm_name, [place_pose_stamped],
collision_support_surface_name = det.table_name,
collision_object_name = goal.pickup_goal.collision_object_name)
goal.primitives = [goal.PICK, goal.PLACE, goal.BASE_TRANSIT]
goal.min_grasp_distance_from_surface = 0.17
goal.object_sampling_fraction = 0.9
goal.retreat_distance = 0.3
goal.debug_level = 2
goal.do_pause = False
goal.planning_time = 6000
goal.tries = 1
goal.goal_bias = 0.2
rospy.loginfo('Sending goal')
client.send_goal_and_wait(goal)
rospy.loginfo('Returned')
result = client.get_result()
if result.error_code == result.SUCCESS:
#pickle everything!! great excitement
filename = 'pickplace_and_objects.pck'
rospy.loginfo('Pickling to '+filename)
#the last bit allows us to recreate the planning
pickle.dump([client.get_result(), goal, wi.collision_objects(), wi.get_robot_state()], open(filename, 'wb'))
marray = MarkerArray()
if result.error_code == result.SUCCESS:
for t in result.primitive_trajectories:
marray.markers += vt.trajectory_markers(t, ns='trajectory', resolution=3).markers
for (i, m) in enumerate(marray.markers):
m.id = i
(m.color.r, m.color.g, m.color.b) = vt.hsv_to_rgb(i/float(len(marray.markers))*300.0, 1, 1)
while not rospy.is_shutdown():
pub.publish(marray)
rospy.sleep(0.1)
def place(pickplace, obj_name, pose):
# rospy.loginfo("pose"+str(pose))
try:
place_goal = PlaceGoal('right_arm', [pose], collision_support_surface_name='table', collision_object_name=obj_name)
#return False
pickplace.place(place_goal)
except ManipulationError:
rospy.loginfo("POSE FAILED")
return False
return True
def main():
pub = rospy.Publisher('/fail_location', Marker)
pickplace = PickPlace(search_place=[])
place_pose = PoseStamped()
place_pose.header.frame_id = '/torso_lift_link'
place_pose.pose.position.x = 0.7
place_pose.pose.position.y = -0.2
place_pose.pose.position.z = -0.28
place_pose.pose.orientation.x = 0.707
place_pose.pose.orientation.w = 0.707
obj = sys.argv[1]
try:
place_goal = PlaceGoal('right_arm', [place_pose], \
collision_support_surface_name='table', \
collision_object_name=obj)
pickplace.place(place_goal)
except ManipulationError:
pass
# my_world = WorldInterface()
# fail_loc = my_world.collision_object(obj)
# rospy.loginfo("FAIL LOC="+str(fail_loc))
marker = Marker()
marker.header.frame_id = '/torso_lift_link'
marker.ns = ''
marker.id = 0
marker.type = Marker.SPHERE
marker.action = marker.ADD
marker.header.frame_id = place_pose.header.frame_id
marker.pose = place_pose.pose
marker.scale.x = 0.05
marker.scale.y = 0.05
marker.scale.z = 0.05
marker.color.r = 1.0
marker.color.g = 0.0
marker.color.b = 1.0
marker.color.a = 0.8
rospy.loginfo("marker msg=" + str(marker))
pub.publish(marker)
rospy.sleep(15.0)
def plate_main():
pub = rospy.Publisher('darrt_trajectory', MarkerArray)
rospy.loginfo('Waiting for action')
rospy.loginfo('Doing detection')
wi = WorldInterface()
psi = get_planning_scene_interface()
detector = TablewareDetection()
plate = wi.collision_object('plate')
good_detection = False
goal = DARRTGoal()
if plate:
rospy.loginfo('Use last detection?')
good_detection = (raw_input() == 'y')
ops = PoseStamped()
ops.header = copy.deepcopy(plate.header)
ops.pose = copy.deepcopy(plate.poses[0])
goal.pickup_goal = PickupGoal('right_arm', om.GraspableObject(reference_frame_id=ops.header.frame_id),
object_pose_stamped=ops, collision_object_name='plate',
collision_support_surface_name='serving_table')
while not good_detection:
det = detector.detect_objects(add_table_to_map=False,
add_objects_as_mesh=False, table_name='serving_table')
goal.pickup_goal = get_plate(det.pickup_goals, det.table.pose, wi)
psi.reset()
if not goal.pickup_goal:
rospy.loginfo('Nothing to pick up!')
rospy.loginfo('Good detection?')
good_detection = (raw_input() == 'y')
if not goal.pickup_goal:
rospy.loginfo('Nothing to pick up!')
return
add_map_tables(wi)
psi.reset()
client = SimpleActionClient('/darrt_planning/darrt_action', DARRTAction)
client.wait_for_server()
goal.pickup_goal.arm_name = 'right_arm'
goal.pickup_goal.desired_grasps = plate_grasps(goal.pickup_goal.object_pose_stamped,
goal.pickup_goal.target.reference_frame_id)
goal.pickup_goal.lift.desired_distance = 0.3
place_pose_stamped = PoseStamped()
place_pose_stamped.header.frame_id = wi.world_frame
# place_pose_stamped.pose.position.x = 1.3
# place_pose_stamped.pose.position.y = -0.3
# place_pose_stamped.pose.position.z = 1.01
place_pose_stamped.pose.position.x = 0.0
place_pose_stamped.pose.position.y = 0.0
place_pose_stamped.pose.position.z = 0.76
place_pose_stamped.pose.orientation.w = 1.0
# place_pose_stamped.pose.orientation.x = 0.1
# place_pose_stamped.pose.orientation.y = 0.1
# place_pose_stamped.pose.orientation.w = np.sqrt(0.98)
#place_pose_stamped = copy.deepcopy(goal.pickup_goal.object_pose_stamped)
#place_pose_stamped.pose.position.x -= 0.2
#place_pose_stamped.pose.position.y -= 0.2
#place_pose_stamped.pose.position.z += 0.2
goal.place_goal = PlaceGoal(goal.pickup_goal.arm_name, [place_pose_stamped],
collision_support_surface_name = 'dirty_table',
collision_object_name = goal.pickup_goal.collision_object_name)
goal.place_goal.approach.direction.header.frame_id = wi.world_frame
goal.place_goal.approach.direction.vector.x = np.sqrt(0.18)
goal.place_goal.approach.direction.vector.y = -np.sqrt(0.18)
goal.place_goal.approach.direction.vector.z = -0.8
goal.place_goal.approach.desired_distance = 0.2
goal.primitives = [goal.PICK, goal.PLACE, goal.PUSH, goal.BASE_TRANSIT]
goal.min_grasp_distance_from_surface = 0.19
goal.object_sampling_fraction = 0.7
goal.retreat_distance = 0.3
goal.debug_level = 2
goal.do_pause = False
goal.execute = False
goal.planning_time = 6000
goal.tries = 1
goal.goal_bias = 0.2
rospy.loginfo('Sending goal')
client.send_goal_and_wait(goal)
rospy.loginfo('Returned')
result = client.get_result()
marray = MarkerArray()
if result.error_code == result.SUCCESS:
#pickle everything!! great excitement
filename = 'trajectory_and_objects.pck'
rospy.loginfo('Pickling to '+filename)
#the last bit allows us to recreate the planning
pickle.dump([client.get_result(), goal, wi.collision_objects(), wi.get_robot_state()], open(filename, 'wb'))
rospy.loginfo('Successful write')
for t in result.primitive_trajectories:
marray.markers += vt.trajectory_markers(t, ns='trajectory', resolution=3).markers
for (i, m) in enumerate(marray.markers):
m.id = i
(m.color.r, m.color.g, m.color.b) = vt.hsv_to_rgb(i/float(len(marray.markers))*300.0, 1, 1)
while not rospy.is_shutdown():
pub.publish(marray)
rospy.sleep(0.1)
def main():
#Find an object to pick up
rospy.loginfo('Doing detection')
detector = TablewareDetection()
det = detector.detect_objects(add_objects_as_mesh=False)
if not det.pickup_goals:
rospy.loginfo('Nothing to pick up!')
return
#DARRT action client
client = SimpleActionClient('/darrt_planning/darrt_action', DARRTAction)
rospy.loginfo('Waiting for DARRT action')
client.wait_for_server()
rospy.loginfo('Found DARRT action')
#DARRTGoal
goal = DARRTGoal()
#pickup goal (from the tabletop detection)
goal.pickup_goal = det.pickup_goals[0]
goal.pickup_goal.arm_name = 'right_arm'
#place goal (move left 20 cm)
place_pose_stamped = copy.deepcopy(goal.pickup_goal.object_pose_stamped)
place_pose_stamped.pose.position.y += 0.2
goal.place_goal = PlaceGoal(goal.pickup_goal.arm_name,
[place_pose_stamped],
collision_support_surface_name =
det.table_name,
collision_object_name =
goal.pickup_goal.collision_object_name)
#Send the goal to the action
rospy.loginfo('Sending goal')
client.send_goal_and_wait(goal)
rospy.loginfo('Returned')
#Check the result
result = client.get_result()
if result.error_code != result.SUCCESS:
rospy.logerr('Planning failed. Error code: '+str(result.error_code))
return
rospy.loginfo('Planning succeeded!')
#at this point the planning is done.
#now we execute and visualize the plan
#visualize trajectory
pub = rospy.Publisher('darrt_trajectory', MarkerArray)
marray = get_trajectory_markers(result.primitive_trajectories)
for i in range(10):
pub.publish(marray)
rospy.sleep(0.05)
#Executor is a Python class for executing DARRT plans
executor = Executor()
#execute trajectory
rospy.loginfo('Press enter to execute')
raw_input()
executor.execute_trajectories(result)
def main():
#Find an object to pick up
psi = get_planning_scene_interface()
psi.reset()
rospy.loginfo('Doing detection')
detector = TablewareDetection()
det = detector.detect_objects(add_objects_as_mesh=False)
if not det.pickup_goals:
rospy.loginfo('Nothing to pick up!')
return
psi.reset()
#DARRT action client
client = SimpleActionClient('/darrt_planning/darrt_action', DARRTAction)
rospy.loginfo('Waiting for DARRT action')
client.wait_for_server()
rospy.loginfo('Found DARRT action')
#DARRTGoal
goal = DARRTGoal()
#pickup goal (from the tabletop detection)
goal.pickup_goal = det.pickup_goals[0]
goal.pickup_goal.arm_name = 'right_arm'
#world interface to tell us whether we're using the
#map or odom_combined frame
wi = WorldInterface()
#place goal (move far away)
place_pose_stamped = PoseStamped()
place_pose_stamped.header.frame_id = wi.world_frame
place_pose_stamped.pose.position.x = -2
place_pose_stamped.pose.position.y = 0
place_pose_stamped.pose.position.z = 0.85
place_pose_stamped.pose.orientation.w = 1.0
goal.place_goal = PlaceGoal(
goal.pickup_goal.arm_name, [place_pose_stamped],
collision_support_surface_name=det.table_name,
collision_object_name=goal.pickup_goal.collision_object_name)
goal.primitives = [goal.PICK, goal.PLACE, goal.BASE_TRANSIT]
goal.planning_time = 30
goal.tries = 3
goal.debug_level = 1
goal.object_sampling_fraction = 0.5
#Send the goal to the action
rospy.loginfo('Sending goal')
client.send_goal_and_wait(goal)
rospy.loginfo('Returned')
#Check the result
result = client.get_result()
if result.error_code != result.SUCCESS:
rospy.logerr('Planning failed. Error code: ' + str(result.error_code))
return
rospy.loginfo('Planning succeeded!')
#at this point the planning is done.
#now we execute and visualize the plan
#visualize trajectory
pub = rospy.Publisher('darrt_trajectory', MarkerArray)
marray = get_trajectory_markers(result.primitive_trajectories)
for i in range(10):
pub.publish(marray)
rospy.sleep(0.05)
#Executor is a Python class for executing DARRT plans
executor = Executor()
#execute trajectory
rospy.loginfo('Press enter to execute')
raw_input()
executor.execute_trajectories(result)
rospy.loginfo('Successfully executed!')