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Python moveit_commander.PlanningSceneInterface方法代码示例

本文整理汇总了Python中moveit_commander.PlanningSceneInterface方法的典型用法代码示例。如果您正苦于以下问题:Python moveit_commander.PlanningSceneInterface方法的具体用法?Python moveit_commander.PlanningSceneInterface怎么用?Python moveit_commander.PlanningSceneInterface使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在moveit_commander的用法示例。


在下文中一共展示了moveit_commander.PlanningSceneInterface方法的5个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: __init__

# 需要导入模块: import moveit_commander [as 别名]
# 或者: from moveit_commander import PlanningSceneInterface [as 别名]
def __init__(self):
        """
        
        """
        self.ceilheight = 0.75
        rospy.sleep(0.4)
        moveit_commander.roscpp_initialize(sys.argv)
        rospy.sleep(0.4)

        self.scene = moveit_commander.PlanningSceneInterface()
        self.robot = moveit_commander.RobotCommander()

        rospy.sleep(0.1)

        self.group = moveit_commander.MoveGroupCommander("right_arm")
        self.display_trajectory_publisher = rospy.Publisher('/move_group/display_planned_path',
                                                            moveit_msgs.msg.DisplayTrajectory)
        self.planning_scene_diff_publisher = rospy.Publisher("planning_scene", moveit_msgs.msg.PlanningScene,
                                                             queue_size=1)

        rospy.sleep(0.1)

        self.set_default_planner()

        print "============ Reference frame: %s" % self.group.get_planning_frame()

        print "============ Reference frame: %s" % self.group.get_end_effector_link()
        print self.robot.get_group_names()
        print self.robot.get_current_state()
        self.enable_collision_table1 = True
        self.enable_orientation_constraint = False
        self.set_default_tables_z()
        self.registered_blocks = []

        self.tableshape = (0.913, 0.913, 0.01)
        # self.tableshape = (1.2, 1.2, 0.01)

        rospy.sleep(0.2) 
开发者ID:microsoft,项目名称:AI-Robot-Challenge-Lab,代码行数:40,代码来源:trajectory_planner.py

示例2: __init__

# 需要导入模块: import moveit_commander [as 别名]
# 或者: from moveit_commander import PlanningSceneInterface [as 别名]
def __init__(self, group_name=None):
        self.robot = moveit_commander.RobotCommander()
        self.scene = moveit_commander.PlanningSceneInterface()

        self.groups = {}
        self.active_group = None
        self.set_group(group_name)

        self.reset_publisher = rospy.Publisher('/franka_control/error_recovery/goal', ErrorRecoveryActionGoal, queue_size=1) 
开发者ID:dougsm,项目名称:mvp_grasp,代码行数:11,代码来源:panda_commander.py

示例3: __init__

# 需要导入模块: import moveit_commander [as 别名]
# 或者: from moveit_commander import PlanningSceneInterface [as 别名]
def __init__(self,
                 initial_goal,
                 initial_joint_pos,
                 sparse_reward=False,
                 simulated=False,
                 distance_threshold=0.05,
                 target_range=0.15,
                 robot_control_mode='position'):
        """
        Push task for the sawyer robot.

        :param initial_goal: np.array()
                    the initial goal of pnp task,
                    which is object's target position
        :param initial_joint_pos: dict{string: float}
                    initial joint position
        :param sparse_reward: Bool
                    if use sparse reward
        :param simulated: Bool
                    if use simulator
        :param distance_threshold: float
                    threshold for judging if the episode is done
        :param target_range: float
                    the range within which the new target is randomized
        :param robot_control_mode: string
                    control mode 'position'/'velocity'/'effort'
        """
        Serializable.quick_init(self, locals())

        self._distance_threshold = distance_threshold
        self._target_range = target_range
        self._sparse_reward = sparse_reward
        self.initial_goal = initial_goal
        self.goal = self.initial_goal.copy()
        self.simulated = simulated

        # Initialize moveit to get safety check
        self._moveit_robot = moveit_commander.RobotCommander()
        self._moveit_scene = moveit_commander.PlanningSceneInterface()
        self._moveit_group_name = 'right_arm'
        self._moveit_group = moveit_commander.MoveGroupCommander(
            self._moveit_group_name)

        self._robot = Sawyer(
            initial_joint_pos=initial_joint_pos,
            control_mode=robot_control_mode,
            moveit_group=self._moveit_group_name)
        self._world = BlockWorld(self._moveit_scene,
                                 self._moveit_robot.get_planning_frame(),
                                 simulated)

        SawyerEnv.__init__(self, simulated=simulated) 
开发者ID:rlworkgroup,项目名称:gym-sawyer,代码行数:54,代码来源:push_env.py

示例4: __init__

# 需要导入模块: import moveit_commander [as 别名]
# 或者: from moveit_commander import PlanningSceneInterface [as 别名]
def __init__(self,
                 initial_goal,
                 initial_joint_pos,
                 sparse_reward=True,
                 simulated=False,
                 distance_threshold=0.05,
                 target_range=0.15,
                 robot_control_mode='position'):
        """
        Pick-and-place task for the sawyer robot.

        :param initial_goal: np.array()
                    the initial goal of pnp task,
                    which is object's target position
        :param initial_joint_pos: dict{string: float}
                    initial joint position
        :param sparse_reward: Bool
                    if use sparse reward
        :param simulated: Bool
                    if use simulator
        :param distance_threshold: float
                    threshold for judging if the episode is done
        :param target_range: float
                    the range within which the new target is randomized
        :param robot_control_mode: string
                    control mode 'position'/'velocity'/'effort'
        """
        Serializable.quick_init(self, locals())

        self._distance_threshold = distance_threshold
        self._target_range = target_range
        self._sparse_reward = sparse_reward
        self.initial_goal = initial_goal
        self.goal = self.initial_goal.copy()
        self.simulated = simulated

        # Initialize moveit to get safety check
        self._moveit_robot = moveit_commander.RobotCommander()
        self._moveit_scene = moveit_commander.PlanningSceneInterface()
        self._moveit_group_name = 'right_arm'
        self._moveit_group = moveit_commander.MoveGroupCommander(
            self._moveit_group_name)

        self._robot = Sawyer(
            initial_joint_pos=initial_joint_pos,
            control_mode=robot_control_mode,
            moveit_group=self._moveit_group_name)
        self._world = BlockWorld(self._moveit_scene,
                                 self._moveit_robot.get_planning_frame(),
                                 simulated)

        SawyerEnv.__init__(self, simulated=simulated) 
开发者ID:rlworkgroup,项目名称:gym-sawyer,代码行数:54,代码来源:pick_and_place_env.py

示例5: __init__

# 需要导入模块: import moveit_commander [as 别名]
# 或者: from moveit_commander import PlanningSceneInterface [as 别名]
def __init__(self,
                 initial_goal,
                 initial_joint_pos,
                 sparse_reward=False,
                 simulated=False,
                 distance_threshold=0.05,
                 target_range=0.15,
                 robot_control_mode='position'):
        """
        Reacher Environment.

        :param initial_goal: np.array
                        the initial goal for the task
        :param initial_joint_pos: dict
                        the initial joint angles for the sawyer
        :param sparse_reward: Bool
                        if use sparse reward
        :param simulated: Bool
                        if run simulated experiment
        :param distance_threshold: float
                        threshold for whether experiment is done
        :param target_range: float
                        delta range the goal is randomized
        :param robot_control_mode: string
                        robot control mode: 'position' or 'velocity'
                        or 'effort'
        """
        Serializable.quick_init(self, locals())

        self._distance_threshold = distance_threshold
        self._target_range = target_range
        self._sparse_reward = sparse_reward
        self.initial_goal = initial_goal
        self.goal = self.initial_goal.copy()
        self.simulated = simulated

        # Initialize moveit to get safety check
        self._moveit_robot = moveit_commander.RobotCommander()
        self._moveit_scene = moveit_commander.PlanningSceneInterface()
        self._moveit_group_name = 'right_arm'
        self._moveit_group = moveit_commander.MoveGroupCommander(
            self._moveit_group_name)

        self._robot = Sawyer(
            initial_joint_pos=initial_joint_pos,
            control_mode=robot_control_mode,
            moveit_group=self._moveit_group_name)
        self._world = EmptyWorld(self._moveit_scene,
                                 self._moveit_robot.get_planning_frame(),
                                 simulated)

        SawyerEnv.__init__(self, simulated=simulated) 
开发者ID:rlworkgroup,项目名称:gym-sawyer,代码行数:54,代码来源:reacher_env.py


注:本文中的moveit_commander.PlanningSceneInterface方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。