class MoveitMoveGroupState(EventState):
"""
Uses moveit to plan to the given joint configuration and executes the resulting trajctory.
-- planning_group string Name of the planning group.
># target_joint_config float[] Target joint values to plan and move to.
<= reached Requested joint configuration has been reached successfully.
<= failed Failed to reach requested joint configuration.
"""
def __init__(self, planning_group):
"""Constructor"""
super(MoveitMoveGroupState,
self).__init__(outcomes=['reached', 'failed'],
input_keys=['target_joint_config'])
self._client = ProxyMoveitClient()
self._failed = False
self._planning_group = planning_group
def execute(self, userdata):
"""Execute this state"""
if self._failed:
return 'failed'
if self._client.finished():
if self._client.success():
return 'reached'
else:
Logger.logwarn('MoveIt failed with the following error: %s' %
self._client.error_msg())
self._failed = True
return 'failed'
def on_enter(self, userdata):
self._failed = False
# create the motion goal
self._client.new_goal(self._planning_group)
self._client.add_joint_values(userdata.target_joint_config)
# execute the motion
try:
Logger.loginfo("Moving %s to: %s" %
(self._planning_group, ", ".join(
map(str, userdata.target_joint_config))))
self._client.start_execution()
except Exception as e:
Logger.logwarn('Was unable to execute move group request:\n%s' %
str(e))
self._failed = True
class MoveitMoveGroupState(EventState):
"""
Uses moveit to plan to the given joint configuration and executes the resulting trajctory.
-- planning_group string Name of the planning group.
># target_joint_config float[] Target joint values to plan and move to.
<= reached Requested joint configuration has been reached successfully.
<= failed Failed to reach requested joint configuration.
"""
def __init__(self, planning_group):
"""Constructor"""
super(MoveitMoveGroupState, self).__init__(outcomes=['reached', 'failed'],
input_keys=['target_joint_config'])
self._client = ProxyMoveitClient()
self._failed = False
self._planning_group = planning_group
def execute(self, userdata):
"""Execute this state"""
if self._failed:
return 'failed'
if self._client.finished():
if self._client.success():
return 'reached'
else:
Logger.logwarn('MoveIt failed with the following error: %s' % self._client.error_msg())
self._failed = True
return 'failed'
def on_enter(self, userdata):
self._failed = False
# create the motion goal
self._client.new_goal(self._planning_group)
self._client.add_joint_values(userdata.target_joint_config)
# execute the motion
try:
Logger.loginfo("Moving %s to: %s" % (self._planning_group, ", ".join(map(str, userdata.target_joint_config))))
self._client.start_execution()
except Exception as e:
Logger.logwarn('Was unable to execute move group request:\n%s' % str(e))
self._failed = True
class MoveitPredefinedPoseState(EventState):
"""
Uses moveit to go to one of the pre-defined poses.
-- target_pose int Identifier of the pre-defined pose to be used.
-- vel_scaling float Scales the velocity of the motion.
Lower values for slower trajectories.
-- ignore_collisions boolean Should collisions be ignored? Only pass True if you are sure that it is safe.
-- link_paddings dict link_name (str) : padding (float) pairs
-- is_cartesian boolean Execute as cartesian motion
># side string Arm side, turning direction, etc.
Possible values: {left, right, same}
<= done Successfully executed the motion.
<= failed Failed to execute the motion.
"""
# Arms
STAND_POSE = 0
SINGLE_ARM_STAND = 1 # for preventing unconstrained motion of the other
BOTH_ARMS_SIDES = 2 # for safely holding the tool at the robot's side
SINGLE_ARM_SIDE = 3
STAND_POSE_UP = 4
CALIBRATE_ARMS = 10 # for checking arm calibration with the head camera
WALK_POSE = 19
# Torso
TURN_TORSO_CENTER_POSE = 20
TURN_TORSO_SLIGHTLY = 21
TURN_TORSO_MORE = 22
TURN_TORSO_FULL = 23
# Head
HEAD_CENTER = 30
HEAD_SIDE = 31
# Task-specific poses
# Second digit is task number. Comment is pose in the Position widget.
CAR_ENTRY_ARMS_POSE = 111 # CarEntry
CAR_ENTRY_LEGS_POSE = 112 # CarEntry
CAR_ENTRY_FORE_POSE = 113 # CarEntryFore
CAR_PREDRIVE_LARM_POSE = 114 # pre_drive
CAR_DRIVE_LARM_POSE = 115 # drive
CAR_DRIVE_CAMERA_POSE = 116 # CarCamera
DOOR_READY_POSE = 131
DOOR_OPEN_POSE_TURNED = 132
DOOR_OPEN_POSE_STRAIGHT = 133
DOOR_OPEN_POSE_SIDE = 134 # push_door_3
DOOR_PUSH_SIDE = 136
DOOR_OPEN_TURN_MANIPULATE = 138
DOOR_OPEN_TURN_LIDAR = 139
POKE_READY_POSE = 151
PREP_CUT_WALL_1 = 155
PREP_CUT_WALL_2 = 156
PREP_CUT_WALL_3 = 157
LADDER_READY_POSE = 181
def __init__(self, target_pose,
vel_scaling = 0.1,
ignore_collisions = False,
link_paddings = {},
is_cartesian = False):
"""Constructor"""
super(MoveitPredefinedPoseState, self).__init__(outcomes=['done', 'failed'],
input_keys=['side'])
if not rospy.has_param("behavior/robot_namespace"):
Logger.logerr("Need to specify parameter behavior/robot_namespace at the parameter server")
return
self._robot = rospy.get_param("behavior/robot_namespace")
self._poses = dict()
self._poses['flor'] = dict()
# Position mode widget: src/vigir_ocs_eui/vigir_rqt/vigir_rqt_position_mode/launch
self._poses['flor']['left'] = {
# Joint names: l_arm_shz, l_arm_shx, l_arm_ely, l_arm_elx, l_arm_wry, l_arm_wrx, l_arm_wry2
1: {'group': 'l_arm_group', 'joints': [-0.25, -1.34, 1.88, 0.49, 0.0, 0.0, 0.0]},
3: {'group': 'l_arm_group', 'joints': [+0.72, -0.95, 2.7, 0.95, 0.0, -0.4, -0.50]},
10: {'group': 'l_arm_group', 'joints': [-1.0, 0.28, 1.2, 1.6, 0.3, 0.5 , 0.0]},
21: {'group': 'torso_group', 'joints': [+0.20, 0.00, 0.00]},
22: {'group': 'torso_group', 'joints': [+0.40, 0.00, 0.00]},
23: {'group': 'torso_group', 'joints': [+0.55, 0.00, 0.00]},
112: {'group': 'l_leg_group', 'joints': [+0.00, +0.00, -1.60, +1.40, -0.50, 0.00]}, # Safety pose
114: {'group': 'l_arm_group', 'joints': [+0.76, -0.94, 0.80, 2.00, +1.00, -0.20, -1.35]}, # pre_drive
115: {'group': 'l_arm_group', 'joints': [+0.11, -0.16, 1.75, 1.60, +1.00, -0.90, -1.00]}, # drive
116: {'group': 'l_arm_group', 'joints': []}, # We use the right hand for the camera!
131: {'group': 'l_arm_group', 'joints': [-0.29, -0.22, 1.87, 2.17, -0.17, 0.81, 0.12]},
132: {'group': 'l_arm_group', 'joints': [-0.70, -0.09, 1.93, 0.66, -0.15, 1.52, 0.12]},
133: {'group': 'l_arm_group', 'joints': [-1.38, -0.16, 1.82, 0.57, -0.19, 1.52, 0.12]},
134: {'group': 'l_arm_group', 'joints': []}, # Most probably will never be used
151: {'group': 'l_arm_group', 'joints': [-1.01, -0.43, +1.32, +1.67, -0.91, +1.46, +0.98]},
155: {'group': 'l_arm_group', 'joints': [0.0, -0.37, 2.65, 1.4, -0.2, 0.9 , -1.54]},
156: {'group': 'l_arm_group', 'joints': [-0.32, -0.9, 2.2, 1.3, 0.5, 1.0 , -1.8]},
157: {'group': 'l_arm_group', 'joints': [-0.45, -1.0, 2.1, 1.3, 0.5, 0.8 , -0.8]}
}
self._poses['flor']['same'] = {
0: {'group': 'both_arms_group', 'joints': [-0.25, -1.34, +1.88, +0.49, +0.00, +0.00, +0.00, \
+0.25, +1.34, +1.88, -0.49, +0.00, +0.00, +0.00]},
2: {'group': 'both_arms_group', 'joints': [+0.72, -0.95, 2.7, 0.95, 0.0, -0.4 , -0.5, \
-0.72, 0.95, 2.7, -0.95, 0.0, 0.4 , -0.5]},
19: {'group': 'both_arms_group', 'joints': [-1.5, -1.5, +0.30, +0.50, +0.0, +0.8, +0.00, \
+1.5, +1.5, +0.30, -0.50, +0.0, -0.8, +0.00]},
20: {'group': 'torso_group', 'joints': [+0.00, 0.00, 0.00]},
111: {'group': 'both_arms_group', 'joints': [+0.20, -1.50, +0.00, +1.72, 0.00, +0.00, 0.0, \
+0.00, +1.50, +0.00, -1.72, 0.00, +0.00, 0.0]},
113: {'group': 'both_arms_group', 'joints': [+0.20, -1.50, +0.00, +1.72, 0.00, -1.57, 0.0, \
+0.00, +1.50, +0.00, -1.72, 0.00, +1.57, 0.0]},
181: {'group': 'both_arms_group', 'joints': [-1.53, -0.69, +0.12, +1.47, 0.00, +0.88, 0.00, \
+1.53, +0.69, +0.12, -1.47, 0.00, -0.88, 0.00]}
}
self._poses['flor']['right'] = {
# Joint names: r_arm_shz, r_arm_shx, r_arm_ely, r_arm_elx, r_arm_wry, r_arm_wrx, r_arm_wry2
1: {'group': 'r_arm_group', 'joints': [+0.25, 1.34, 1.88, -0.49, 0.0, 0.0, 0.0]},
3: {'group': 'r_arm_group', 'joints': [-0.72, 0.95, 2.7, -0.95, 0.0, 0.4, -0.50]},
10: {'group': 'r_arm_group', 'joints': [+1.0, -0.28, 1.2, -1.6, 0.3, -0.5 , 0.0]},
21: {'group': 'torso_group', 'joints': [-0.20, 0.00, 0.00]},
22: {'group': 'torso_group', 'joints': [-0.40, 0.00, 0.00]},
23: {'group': 'torso_group', 'joints': [-0.55, 0.00, 0.00]},
112: {'group': 'r_leg_group', 'joints': [+0.00, +0.00, -1.34, +1.23, 0.00, 0.00]},
115: {'group': 'r_arm_group', 'joints': []}, # Driving is done with the left arm!
116: {'group': 'r_arm_group', 'joints': [+0.90, 0.17, 0.50, -1.58, -0.70, +1.50, -0.34]}, # CarCamera
131: {'group': 'r_arm_group', 'joints': [+0.29, 0.22, 1.87, -2.17, -0.17, -0.81, 0.12]},
132: {'group': 'r_arm_group', 'joints': [+0.70, 0.09, 1.93, -0.66, -0.15, -1.52, 0.12]},
133: {'group': 'r_arm_group', 'joints': [+1.38, 0.16, 1.82, -0.57, -0.19, -1.52, 0.12]},
134: {'group': 'r_arm_group', 'joints': [+0.00, +0.54, +0.94, -1.04, 0.80, 0.5, 0.7]},
151: {'group': 'r_arm_group', 'joints': [+1.01, +0.43, +1.32, -1.67, -0.91, -1.46, +0.98]},
155: {'group': 'r_arm_group', 'joints': [+0.00, +0.37, +2.65, -1.40, -0.20, -0.90, -1.54]},
156: {'group': 'r_arm_group', 'joints': [+0.32, +0.90, +2.20, -1.30, +0.50, -1.00, -1.80]},
157: {'group': 'r_arm_group', 'joints': [0.45, 1.0, 2.1, -1.3, 0.5, -0.8 , -0.8]}
}
self._poses['thor_mang'] = dict()
self._poses['thor_mang']['left'] = {
1: {'group': 'l_arm_group', 'joints': [0.785385646194622, -0.281153767716932, 0.000600782658167331, -1.57080884130538, -0.25205140042963, 0.01563815008, 0]},
3: {'group': 'l_arm_group', 'joints': [0.77, -0.27, 0.02, -1.21, -0.25, 0.02, 0]},
4: {'group': 'l_arm_group', 'joints': [0.785385646194622, -0.281153767716932, 0.000600782658167331, -1.97080884130538, -0.25205140042963, 0.01563815008, 0]},
21: {'group': 'torso_group', 'joints': [+0.30, 0.03]},
22: {'group': 'torso_group', 'joints': [+0.60, 0.03]},
23: {'group': 'torso_group', 'joints': [+1.02, 0.03]},
31: {'group': 'head_group', 'joints': [1.57, 0.00]},
131: {'group': 'l_arm_group', 'joints': [-1.73, -0.69, 1.75, -1.86, 0.04, -0.72, 1.63]},
132: {'group': 'l_arm_group', 'joints': [-1.76, -1.13, 1.68, -0.55, 0.02, -1.81, 1.63]},
133: {'group': 'l_arm_group', 'joints': [-1.70, -0.06, 1.86, -0.45, 0.08, -0.90, 1.65]},
134: {'group': 'l_arm_group', 'joints': [-1.70, -0.06, 1.86, -0.45, 0.08, -0.90, 1.65]}, # placeholder
136: {'group': 'l_arm_group', 'joints': [-2.31, -2.2, 1.83, -1.22, 4.1, 0.14, -2.08]},
138: {'group': 'torso_group', 'joints': [0.92, 0]},
139: {'group': 'torso_group', 'joints': [1.3, 0]},
151: {'group': 'l_arm_group', 'joints': [-1.45, -1.26, 1.10, -2.02, -0.19, 0.04, -2.86]},
155: {'group': 'l_arm_group', 'joints': [-0.25, -0.75, 0.02, -1.21, -0.38, -1.36, -0.9]},
156: {'group': 'l_arm_group', 'joints': [-0.25, -0.25, 0.02, -1.21, -0.38, -1.36, -0.9]},
157: {'group': 'l_arm_group', 'joints': [-0.25, -0.13, 0.02, -1.21, -0.13, -1.55, 0.41]}
}
self._poses['thor_mang']['same'] = {
0: {'group': 'both_arms_group', 'joints': [0.79, -0.27, 0, -1.57, 1.55, 0, 0, -0.79, 0.27, 0, 1.57, -1.55, 0, 0]},
2: {'group': 'both_arms_group', 'joints': [-0.37, 0.0, 1.57, 0, 0, 0, 0, 0.37, 0.0, 1.57, 0, 0, 0, 0]},
20: {'group': 'torso_group', 'joints': [0.00, 0.03]},
30: {'group': 'head_group', 'joints': [0.00, 0.00]},
181: {'group': 'both_arms_group', 'joints': [0.785385646194622, -0.281153767716932, 0.000600782658167331, -1.57080884130538, -0.25205140042963, 0.01563815008, 0, -0.785385646194622, 0.281153767716932, -0.000600782658167331, 1.57080884130538, 0.25205140042963, -0.01563815008, 0]}
}
self._poses['thor_mang']['right'] = {
1: {'group': 'r_arm_group', 'joints': [-0.785385646194622, 0.281153767716932, -0.000600782658167331, 1.57080884130538, 0.25205140042963, -0.01563815008, 0]},
3: {'group': 'r_arm_group', 'joints': [-0.77, 0.27, -0.02, 1.21, 0.25, -0.02, 0]},
4: {'group': 'r_arm_group', 'joints': [-0.785385646194622, 0.281153767716932, -0.000600782658167331, 1.97080884130538, 0.25205140042963, -0.01563815008, 0]},
21: {'group': 'torso_group', 'joints': [-0.30, 0.03]},
22: {'group': 'torso_group', 'joints': [-0.60, 0.03]},
23: {'group': 'torso_group', 'joints': [-1.02, 0.03]},
31: {'group': 'head_group', 'joints': [-1.57, 0.00]},
131: {'group': 'r_arm_group', 'joints': [1.73, 0.69, -1.75, 1.86, -0.04, 0.72, -1.63]},
132: {'group': 'r_arm_group', 'joints': [1.76, 1.13, -1.68, 0.55, -0.02, 1.81, -1.63]},
133: {'group': 'r_arm_group', 'joints': [1.70, 0.06, -1.86, 0.45, -0.08, 0.90, -1.65]},
134: {'group': 'r_arm_group', 'joints': [1.70, 0.06, -1.86, 0.45, -0.08, 0.90, -1.65]}, # placeholder
136: {'group': 'r_arm_group', 'joints': [2.31, 2.2, -1.83, 1.22, -4.1, -0.14, 2.08]},
138: {'group': 'torso_group', 'joints': [-0.92, 0]},
139: {'group': 'torso_group', 'joints': [-1.3, 0]},
151: {'group': 'r_arm_group', 'joints': [1.45, 1.26, -1.10, 2.02, 0.19, -0.04, 2.86]},
155: {'group': 'r_arm_group', 'joints': [0.25, 0.75, -0.02, 1.21, 0.38, 1.36, 0.9]},
156: {'group': 'r_arm_group', 'joints': [0.25, 0.25, -0.02, 1.21, 0.38, 1.36, 0.9]},
157: {'group': 'r_arm_group', 'joints': [0.25, 0.13, -0.02, 1.21, 0.13, 1.55, -0.41]}
}
self._target_pose = target_pose
self._vel_scaling = vel_scaling
self._ignore_collisions = ignore_collisions
self._link_paddings = link_paddings
self._is_cartesian = is_cartesian
self._client = ProxyMoveitClient()
self._failed = False
def execute(self, userdata):
"""Execute this state"""
if self._failed:
return 'failed'
if self._client.finished():
if self._client.success():
return 'done'
else:
Logger.logwarn('MoveIt failed with the following error: %s' % self._client.error_msg())
self._failed = True
return 'failed'
def on_enter(self, userdata):
self._failed = False
planning_group = ""
joint_values = []
if userdata.side == 'left' and self._target_pose in self._poses[self._robot]['left'].keys():
planning_group = self._poses[self._robot]['left'][self._target_pose]['group']
joint_values = self._poses[self._robot]['left'][self._target_pose]['joints']
elif userdata.side == 'right' and self._target_pose in self._poses[self._robot]['right'].keys():
planning_group = self._poses[self._robot]['right'][self._target_pose]['group']
joint_values = self._poses[self._robot]['right'][self._target_pose]['joints']
elif self._target_pose in self._poses[self._robot]['same'].keys():
planning_group = self._poses[self._robot]['same'][self._target_pose]['group']
joint_values = self._poses[self._robot]['same'][self._target_pose]['joints']
else:
Logger.logwarn('Specified target pose %d is not specified for %s side' % (self._target_pose, userdata.side))
self._failed = True
return
# create the motion goal
self._client.new_goal(planning_group)
self._client.add_joint_values(joint_values)
self._client.set_velocity_scaling(self._vel_scaling)
self._client.set_collision_avoidance(self._ignore_collisions)
self._client.add_link_padding(link_paddings = self._link_paddings) #dict
if self._is_cartesian:
self._client.set_cartesian_motion()
# execute the motion
try:
self._client.start_execution()
except Exception as e:
Logger.logwarn('Was unable to execute move group request:\n%s' % str(e))
self._failed = True
def on_exit(self, userdata):
if not self._client.finished():
self._client.cancel()
Logger.loginfo("Cancelled active action goal.")
class MoveitPredefinedPoseState(EventState):
"""
Uses moveit to go to one of the pre-defined poses.
-- target_pose int Identifier of the pre-defined pose to be used.
-- vel_scaling float Scales the velocity of the motion.
Lower values for slower trajectories.
-- ignore_collisions boolean Should collisions be ignored? Only pass True if you are sure that it is safe.
-- link_paddings dict link_name (str) : padding (float) pairs
-- is_cartesian boolean Execute as cartesian motion
># side string Arm side, turning direction, etc.
Possible values: {left, right, same}
<= done Successfully executed the motion.
<= failed Failed to execute the motion.
"""
# Arms
STAND_POSE = 0
SINGLE_ARM_STAND = 1 # for preventing unconstrained motion of the other
BOTH_ARMS_SIDES = 2 # for safely holding the tool at the robot's side
SINGLE_ARM_SIDE = 3
STAND_POSE_UP = 4
CALIBRATE_ARMS = 10 # for checking arm calibration with the head camera
WALK_POSE = 19
# Torso
TURN_TORSO_CENTER_POSE = 20
TURN_TORSO_SLIGHTLY = 21
TURN_TORSO_MORE = 22
TURN_TORSO_FULL = 23
# Head
HEAD_CENTER = 30
HEAD_SIDE = 31
# Task-specific poses
# Second digit is task number. Comment is pose in the Position widget.
CAR_ENTRY_ARMS_POSE = 111 # CarEntry
CAR_ENTRY_LEGS_POSE = 112 # CarEntry
CAR_ENTRY_FORE_POSE = 113 # CarEntryFore
CAR_PREDRIVE_LARM_POSE = 114 # pre_drive
CAR_DRIVE_LARM_POSE = 115 # drive
CAR_DRIVE_CAMERA_POSE = 116 # CarCamera
DOOR_READY_POSE = 131
DOOR_OPEN_POSE_TURNED = 132
DOOR_OPEN_POSE_STRAIGHT = 133
DOOR_OPEN_POSE_SIDE = 134 # push_door_3
DOOR_PUSH_SIDE = 136
DOOR_OPEN_TURN_MANIPULATE = 138
DOOR_OPEN_TURN_LIDAR = 139
POKE_READY_POSE = 151
PREP_CUT_WALL_1 = 155
PREP_CUT_WALL_2 = 156
PREP_CUT_WALL_3 = 157
LADDER_READY_POSE = 181
def __init__(self,
target_pose,
vel_scaling=0.1,
ignore_collisions=False,
link_paddings={},
is_cartesian=False):
"""Constructor"""
super(MoveitPredefinedPoseState,
self).__init__(outcomes=['done', 'failed'], input_keys=['side'])
if not rospy.has_param("behavior/robot_namespace"):
Logger.logerr(
"Need to specify parameter behavior/robot_namespace at the parameter server"
)
return
self._robot = rospy.get_param("behavior/robot_namespace")
self._poses = dict()
self._poses['flor'] = dict()
# Position mode widget: src/vigir_ocs_eui/vigir_rqt/vigir_rqt_position_mode/launch
self._poses['flor']['left'] = {
# Joint names: l_arm_shz, l_arm_shx, l_arm_ely, l_arm_elx, l_arm_wry, l_arm_wrx, l_arm_wry2
1: {
'group': 'l_arm_group',
'joints': [-0.25, -1.34, 1.88, 0.49, 0.0, 0.0, 0.0]
},
3: {
'group': 'l_arm_group',
'joints': [+0.72, -0.95, 2.7, 0.95, 0.0, -0.4, -0.50]
},
10: {
'group': 'l_arm_group',
'joints': [-1.0, 0.28, 1.2, 1.6, 0.3, 0.5, 0.0]
},
21: {
'group': 'torso_group',
'joints': [+0.20, 0.00, 0.00]
},
22: {
'group': 'torso_group',
'joints': [+0.40, 0.00, 0.00]
},
23: {
'group': 'torso_group',
'joints': [+0.55, 0.00, 0.00]
},
112: {
'group': 'l_leg_group',
'joints': [+0.00, +0.00, -1.60, +1.40, -0.50, 0.00]
}, # Safety pose
114: {
'group': 'l_arm_group',
'joints': [+0.76, -0.94, 0.80, 2.00, +1.00, -0.20, -1.35]
}, # pre_drive
115: {
'group': 'l_arm_group',
'joints': [+0.11, -0.16, 1.75, 1.60, +1.00, -0.90, -1.00]
}, # drive
116: {
'group': 'l_arm_group',
'joints': []
}, # We use the right hand for the camera!
131: {
'group': 'l_arm_group',
'joints': [-0.29, -0.22, 1.87, 2.17, -0.17, 0.81, 0.12]
},
132: {
'group': 'l_arm_group',
'joints': [-0.70, -0.09, 1.93, 0.66, -0.15, 1.52, 0.12]
},
133: {
'group': 'l_arm_group',
'joints': [-1.38, -0.16, 1.82, 0.57, -0.19, 1.52, 0.12]
},
134: {
'group': 'l_arm_group',
'joints': []
}, # Most probably will never be used
151: {
'group': 'l_arm_group',
'joints': [-1.01, -0.43, +1.32, +1.67, -0.91, +1.46, +0.98]
},
155: {
'group': 'l_arm_group',
'joints': [0.0, -0.37, 2.65, 1.4, -0.2, 0.9, -1.54]
},
156: {
'group': 'l_arm_group',
'joints': [-0.32, -0.9, 2.2, 1.3, 0.5, 1.0, -1.8]
},
157: {
'group': 'l_arm_group',
'joints': [-0.45, -1.0, 2.1, 1.3, 0.5, 0.8, -0.8]
}
}
self._poses['flor']['same'] = {
0: {'group': 'both_arms_group', 'joints': [-0.25, -1.34, +1.88, +0.49, +0.00, +0.00, +0.00, \
+0.25, +1.34, +1.88, -0.49, +0.00, +0.00, +0.00]},
2: {'group': 'both_arms_group', 'joints': [+0.72, -0.95, 2.7, 0.95, 0.0, -0.4 , -0.5, \
-0.72, 0.95, 2.7, -0.95, 0.0, 0.4 , -0.5]},
19: {'group': 'both_arms_group', 'joints': [-1.5, -1.5, +0.30, +0.50, +0.0, +0.8, +0.00, \
+1.5, +1.5, +0.30, -0.50, +0.0, -0.8, +0.00]},
20: {'group': 'torso_group', 'joints': [+0.00, 0.00, 0.00]},
111: {'group': 'both_arms_group', 'joints': [+0.20, -1.50, +0.00, +1.72, 0.00, +0.00, 0.0, \
+0.00, +1.50, +0.00, -1.72, 0.00, +0.00, 0.0]},
113: {'group': 'both_arms_group', 'joints': [+0.20, -1.50, +0.00, +1.72, 0.00, -1.57, 0.0, \
+0.00, +1.50, +0.00, -1.72, 0.00, +1.57, 0.0]},
181: {'group': 'both_arms_group', 'joints': [-1.53, -0.69, +0.12, +1.47, 0.00, +0.88, 0.00, \
+1.53, +0.69, +0.12, -1.47, 0.00, -0.88, 0.00]}
}
self._poses['flor']['right'] = {
# Joint names: r_arm_shz, r_arm_shx, r_arm_ely, r_arm_elx, r_arm_wry, r_arm_wrx, r_arm_wry2
1: {
'group': 'r_arm_group',
'joints': [+0.25, 1.34, 1.88, -0.49, 0.0, 0.0, 0.0]
},
3: {
'group': 'r_arm_group',
'joints': [-0.72, 0.95, 2.7, -0.95, 0.0, 0.4, -0.50]
},
10: {
'group': 'r_arm_group',
'joints': [+1.0, -0.28, 1.2, -1.6, 0.3, -0.5, 0.0]
},
21: {
'group': 'torso_group',
'joints': [-0.20, 0.00, 0.00]
},
22: {
'group': 'torso_group',
'joints': [-0.40, 0.00, 0.00]
},
23: {
'group': 'torso_group',
'joints': [-0.55, 0.00, 0.00]
},
112: {
'group': 'r_leg_group',
'joints': [+0.00, +0.00, -1.34, +1.23, 0.00, 0.00]
},
115: {
'group': 'r_arm_group',
'joints': []
}, # Driving is done with the left arm!
116: {
'group': 'r_arm_group',
'joints': [+0.90, 0.17, 0.50, -1.58, -0.70, +1.50, -0.34]
}, # CarCamera
131: {
'group': 'r_arm_group',
'joints': [+0.29, 0.22, 1.87, -2.17, -0.17, -0.81, 0.12]
},
132: {
'group': 'r_arm_group',
'joints': [+0.70, 0.09, 1.93, -0.66, -0.15, -1.52, 0.12]
},
133: {
'group': 'r_arm_group',
'joints': [+1.38, 0.16, 1.82, -0.57, -0.19, -1.52, 0.12]
},
134: {
'group': 'r_arm_group',
'joints': [+0.00, +0.54, +0.94, -1.04, 0.80, 0.5, 0.7]
},
151: {
'group': 'r_arm_group',
'joints': [+1.01, +0.43, +1.32, -1.67, -0.91, -1.46, +0.98]
},
155: {
'group': 'r_arm_group',
'joints': [+0.00, +0.37, +2.65, -1.40, -0.20, -0.90, -1.54]
},
156: {
'group': 'r_arm_group',
'joints': [+0.32, +0.90, +2.20, -1.30, +0.50, -1.00, -1.80]
},
157: {
'group': 'r_arm_group',
'joints': [0.45, 1.0, 2.1, -1.3, 0.5, -0.8, -0.8]
}
}
self._poses['thor_mang'] = dict()
self._poses['thor_mang']['left'] = {
1: {
'group':
'l_arm_group',
'joints': [
0.785385646194622, -0.281153767716932,
0.000600782658167331, -1.57080884130538, -0.25205140042963,
0.01563815008, 0
]
},
3: {
'group': 'l_arm_group',
'joints': [0.77, -0.27, 0.02, -1.21, -0.25, 0.02, 0]
},
4: {
'group':
'l_arm_group',
'joints': [
0.785385646194622, -0.281153767716932,
0.000600782658167331, -1.97080884130538, -0.25205140042963,
0.01563815008, 0
]
},
21: {
'group': 'torso_group',
'joints': [+0.30, 0.03]
},
22: {
'group': 'torso_group',
'joints': [+0.60, 0.03]
},
23: {
'group': 'torso_group',
'joints': [+1.02, 0.03]
},
31: {
'group': 'head_group',
'joints': [1.57, 0.00]
},
131: {
'group': 'l_arm_group',
'joints': [-1.73, -0.69, 1.75, -1.86, 0.04, -0.72, 1.63]
},
132: {
'group': 'l_arm_group',
'joints': [-1.76, -1.13, 1.68, -0.55, 0.02, -1.81, 1.63]
},
133: {
'group': 'l_arm_group',
'joints': [-1.70, -0.06, 1.86, -0.45, 0.08, -0.90, 1.65]
},
134: {
'group': 'l_arm_group',
'joints': [-1.70, -0.06, 1.86, -0.45, 0.08, -0.90, 1.65]
}, # placeholder
136: {
'group': 'l_arm_group',
'joints': [-2.31, -2.2, 1.83, -1.22, 4.1, 0.14, -2.08]
},
138: {
'group': 'torso_group',
'joints': [0.92, 0]
},
139: {
'group': 'torso_group',
'joints': [1.3, 0]
},
151: {
'group': 'l_arm_group',
'joints': [-1.45, -1.26, 1.10, -2.02, -0.19, 0.04, -2.86]
},
155: {
'group': 'l_arm_group',
'joints': [-0.25, -0.75, 0.02, -1.21, -0.38, -1.36, -0.9]
},
156: {
'group': 'l_arm_group',
'joints': [-0.25, -0.25, 0.02, -1.21, -0.38, -1.36, -0.9]
},
157: {
'group': 'l_arm_group',
'joints': [-0.25, -0.13, 0.02, -1.21, -0.13, -1.55, 0.41]
}
}
self._poses['thor_mang']['same'] = {
0: {
'group':
'both_arms_group',
'joints': [
0.79, -0.27, 0, -1.57, 1.55, 0, 0, -0.79, 0.27, 0, 1.57,
-1.55, 0, 0
]
},
2: {
'group':
'both_arms_group',
'joints':
[-0.37, 0.0, 1.57, 0, 0, 0, 0, 0.37, 0.0, 1.57, 0, 0, 0, 0]
},
20: {
'group': 'torso_group',
'joints': [0.00, 0.03]
},
30: {
'group': 'head_group',
'joints': [0.00, 0.00]
},
181: {
'group':
'both_arms_group',
'joints': [
0.785385646194622, -0.281153767716932,
0.000600782658167331, -1.57080884130538, -0.25205140042963,
0.01563815008, 0, -0.785385646194622, 0.281153767716932,
-0.000600782658167331, 1.57080884130538, 0.25205140042963,
-0.01563815008, 0
]
}
}
self._poses['thor_mang']['right'] = {
1: {
'group':
'r_arm_group',
'joints': [
-0.785385646194622, 0.281153767716932,
-0.000600782658167331, 1.57080884130538, 0.25205140042963,
-0.01563815008, 0
]
},
3: {
'group': 'r_arm_group',
'joints': [-0.77, 0.27, -0.02, 1.21, 0.25, -0.02, 0]
},
4: {
'group':
'r_arm_group',
'joints': [
-0.785385646194622, 0.281153767716932,
-0.000600782658167331, 1.97080884130538, 0.25205140042963,
-0.01563815008, 0
]
},
21: {
'group': 'torso_group',
'joints': [-0.30, 0.03]
},
22: {
'group': 'torso_group',
'joints': [-0.60, 0.03]
},
23: {
'group': 'torso_group',
'joints': [-1.02, 0.03]
},
31: {
'group': 'head_group',
'joints': [-1.57, 0.00]
},
131: {
'group': 'r_arm_group',
'joints': [1.73, 0.69, -1.75, 1.86, -0.04, 0.72, -1.63]
},
132: {
'group': 'r_arm_group',
'joints': [1.76, 1.13, -1.68, 0.55, -0.02, 1.81, -1.63]
},
133: {
'group': 'r_arm_group',
'joints': [1.70, 0.06, -1.86, 0.45, -0.08, 0.90, -1.65]
},
134: {
'group': 'r_arm_group',
'joints': [1.70, 0.06, -1.86, 0.45, -0.08, 0.90, -1.65]
}, # placeholder
136: {
'group': 'r_arm_group',
'joints': [2.31, 2.2, -1.83, 1.22, -4.1, -0.14, 2.08]
},
138: {
'group': 'torso_group',
'joints': [-0.92, 0]
},
139: {
'group': 'torso_group',
'joints': [-1.3, 0]
},
151: {
'group': 'r_arm_group',
'joints': [1.45, 1.26, -1.10, 2.02, 0.19, -0.04, 2.86]
},
155: {
'group': 'r_arm_group',
'joints': [0.25, 0.75, -0.02, 1.21, 0.38, 1.36, 0.9]
},
156: {
'group': 'r_arm_group',
'joints': [0.25, 0.25, -0.02, 1.21, 0.38, 1.36, 0.9]
},
157: {
'group': 'r_arm_group',
'joints': [0.25, 0.13, -0.02, 1.21, 0.13, 1.55, -0.41]
}
}
self._target_pose = target_pose
self._vel_scaling = vel_scaling
self._ignore_collisions = ignore_collisions
self._link_paddings = link_paddings
self._is_cartesian = is_cartesian
self._client = ProxyMoveitClient()
self._failed = False
def execute(self, userdata):
"""Execute this state"""
if self._failed:
return 'failed'
if self._client.finished():
if self._client.success():
return 'done'
else:
Logger.logwarn('MoveIt failed with the following error: %s' %
self._client.error_msg())
self._failed = True
return 'failed'
def on_enter(self, userdata):
self._failed = False
planning_group = ""
joint_values = []
if userdata.side == 'left' and self._target_pose in self._poses[
self._robot]['left'].keys():
planning_group = self._poses[self._robot]['left'][
self._target_pose]['group']
joint_values = self._poses[self._robot]['left'][
self._target_pose]['joints']
elif userdata.side == 'right' and self._target_pose in self._poses[
self._robot]['right'].keys():
planning_group = self._poses[self._robot]['right'][
self._target_pose]['group']
joint_values = self._poses[self._robot]['right'][
self._target_pose]['joints']
elif self._target_pose in self._poses[self._robot]['same'].keys():
planning_group = self._poses[self._robot]['same'][
self._target_pose]['group']
joint_values = self._poses[self._robot]['same'][
self._target_pose]['joints']
else:
Logger.logwarn(
'Specified target pose %d is not specified for %s side' %
(self._target_pose, userdata.side))
self._failed = True
return
# create the motion goal
self._client.new_goal(planning_group)
self._client.add_joint_values(joint_values)
self._client.set_velocity_scaling(self._vel_scaling)
self._client.set_collision_avoidance(self._ignore_collisions)
self._client.add_link_padding(link_paddings=self._link_paddings) #dict
if self._is_cartesian:
self._client.set_cartesian_motion()
# execute the motion
try:
self._client.start_execution()
except Exception as e:
Logger.logwarn('Was unable to execute move group request:\n%s' %
str(e))
self._failed = True
def on_exit(self, userdata):
if not self._client.finished():
self._client.cancel()
Logger.loginfo("Cancelled active action goal.")