#!/usr/bin/env python
import logging, numpy
from prpy.action import ActionMethod, ActionError
from prpy.planning.base import PlanningError
logger = logging.getLogger('herbpy')

@ActionMethod
def PushToPoseOnTable(robot, obj, table, goal_position, goal_radius,
                      manip=None, max_plan_duration=30.0,
                      shortcut_time=3., render=True, search=True, tracker=None,
                      **kw_args):
    """
    @param robot The robot performing the push
    @param obj The object to push
    @param table The table kinbody the object is resting on
    @param goal_position The desired (x,y) position of the object in
                          world coordinates
    @param goal_radius The max distance from goal_position for the object
                       to be to still consider the goal achieved
    @param manip The manipulator to use for the push - if None the active
                 manipulator is used
    @param max_plan_duration The max time to run the planner
    @param shortcut_time The amount of time to spend shortcutting,
                         if 0. no shortcutting is performed
    @param render If true, render the trajectory while executing
    @param tracker The perception module to use to track the object
                    during pushing
    """
    # Get a push planner
    try:
        if search:
            from or_pushing.discrete_search_push_planner import DiscreteSearchPushPlanner
            planner = DiscreteSearchPushPlanner(robot.GetEnv())
        else:
            from or_pushing.push_planner import PushPlanner
            planner = PushPlanner(robot.GetEnv())
    except ImportError:
        raise ActionError("Unable to create PushPlanner. Is the randomized_rearrangement_planning"
                          "repository checked out in your workspace?")

    # Get the manipulator
    if manip is None:
        with robot.GetEnv():
            manip = robot.GetActiveManipulator()


    with robot.GetEnv():
        from prpy.rave import Disabled
        from prpy.util import ComputeEnabledAABB
        with Disabled(table, padding_only=True):
            table_aabb = ComputeEnabledAABB(table)
        ee_pushing_transform = manip.GetEndEffectorTransform()

    # Make the state bounds be at the edges of the table
    table_pos = table_aabb.pos()
    table_extents = table_aabb.extents()
    sbounds = {'high': [table_pos[0] + table_extents[0],
                        table_pos[1] + table_extents[1],
                        2.*numpy.pi],
               'low': [table_pos[0] - table_extents[0],
                       table_pos[1] - table_extents[1],
                       0]}

    # Assume we want to keep the current orientation and height of the
    # manipulator throughout the push
    ee_pushing_transform[:2, 3] = [0., 0.] #ignore x,y pose

    # Compute the goal pose
    #table_height = table_pos[2] + table_extents[2]
    goal_pose = [goal_position[0],
                       goal_position[1]]

    with robot.CreateRobotStateSaver():
        traj = planner.PushToPose(robot, obj, goal_pose,
                                  state_bounds=sbounds,
                                  pushing_manifold=ee_pushing_transform.flatten().tolist(),
                                  max_plan_duration=max_plan_duration,
                                  goal_radius=goal_radius,
                                  **kw_args)
    if traj is None:
        raise PlanningError('Failed to find pushing plan')

    # Execute
    from prpy.viz import RenderTrajectory
    with RenderTrajectory(robot, traj, color=[1, 0, 0, 1], render=render):
        if shortcut_time > 0:
            traj = planner.ShortcutPath(timelimit=shortcut_time)
        with RenderTrajectory(robot, traj, color=[0, 0, 1, 1], render=render):
            if tracker is not None:
                tracker.StartTrackObject(robot, obj.GetName())
            try:
                if manip.simulated:
                    # Use the push planner code to simulate path execution.
                    # This simulates the pushing of the objects during
                    # execution of the trajectory.
                    planner.ExecutePlannedPath()
                else:
                    # Execute the trajectory
                    robot.ExecuteTrajectory(traj)

                    # During execution, object pushes won't be simulated.
                    # In the OpenRAVE world, the robot will instead move
                    # through the objects and probably be in collision at
                    # the end. This call sets all the objects to their
                    # expected poses at the end of the trajectory.
                    # If execution was successful, this should resolve
                    # collisions.
                    planner.SetFinalObjectPoses()
            finally:
                if tracker is not None:
                    tracker.StopTrackObject(robot, obj.GetName())

    return traj

ac313f324ff96bf2f7d9957b8f4bfb80c7f1d3b1
<mask token>

<mask token>


@ActionMethod
def PushToPoseOnTable(robot, obj, table, goal_position, goal_radius, manip=
    None, max_plan_duration=30.0, shortcut_time=3.0, render=True, search=
    True, tracker=None, **kw_args):
    """
    @param robot The robot performing the push
    @param obj The object to push
    @param table The table kinbody the object is resting on
    @param goal_position The desired (x,y) position of the object in
                          world coordinates
    @param goal_radius The max distance from goal_position for the object
                       to be to still consider the goal achieved
    @param manip The manipulator to use for the push - if None the active
                 manipulator is used
    @param max_plan_duration The max time to run the planner
    @param shortcut_time The amount of time to spend shortcutting,
                         if 0. no shortcutting is performed
    @param render If true, render the trajectory while executing
    @param tracker The perception module to use to track the object
                    during pushing
    """
    try:
        if search:
            from or_pushing.discrete_search_push_planner import DiscreteSearchPushPlanner
            planner = DiscreteSearchPushPlanner(robot.GetEnv())
        else:
            from or_pushing.push_planner import PushPlanner
            planner = PushPlanner(robot.GetEnv())
    except ImportError:
        raise ActionError(
            'Unable to create PushPlanner. Is the randomized_rearrangement_planningrepository checked out in your workspace?'
            )
    if manip is None:
        with robot.GetEnv():
            manip = robot.GetActiveManipulator()
    with robot.GetEnv():
        from prpy.rave import Disabled
        from prpy.util import ComputeEnabledAABB
        with Disabled(table, padding_only=True):
            table_aabb = ComputeEnabledAABB(table)
        ee_pushing_transform = manip.GetEndEffectorTransform()
    table_pos = table_aabb.pos()
    table_extents = table_aabb.extents()
    sbounds = {'high': [table_pos[0] + table_extents[0], table_pos[1] +
        table_extents[1], 2.0 * numpy.pi], 'low': [table_pos[0] -
        table_extents[0], table_pos[1] - table_extents[1], 0]}
    ee_pushing_transform[:2, 3] = [0.0, 0.0]
    goal_pose = [goal_position[0], goal_position[1]]
    with robot.CreateRobotStateSaver():
        traj = planner.PushToPose(robot, obj, goal_pose, state_bounds=
            sbounds, pushing_manifold=ee_pushing_transform.flatten().tolist
            (), max_plan_duration=max_plan_duration, goal_radius=
            goal_radius, **kw_args)
    if traj is None:
        raise PlanningError('Failed to find pushing plan')
    from prpy.viz import RenderTrajectory
    with RenderTrajectory(robot, traj, color=[1, 0, 0, 1], render=render):
        if shortcut_time > 0:
            traj = planner.ShortcutPath(timelimit=shortcut_time)
        with RenderTrajectory(robot, traj, color=[0, 0, 1, 1], render=render):
            if tracker is not None:
                tracker.StartTrackObject(robot, obj.GetName())
            try:
                if manip.simulated:
                    planner.ExecutePlannedPath()
                else:
                    robot.ExecuteTrajectory(traj)
                    planner.SetFinalObjectPoses()
            finally:
                if tracker is not None:
                    tracker.StopTrackObject(robot, obj.GetName())
    return traj

<mask token>
logger = logging.getLogger('herbpy')


@ActionMethod
def PushToPoseOnTable(robot, obj, table, goal_position, goal_radius, manip=
    None, max_plan_duration=30.0, shortcut_time=3.0, render=True, search=
    True, tracker=None, **kw_args):
    """
    @param robot The robot performing the push
    @param obj The object to push
    @param table The table kinbody the object is resting on
    @param goal_position The desired (x,y) position of the object in
                          world coordinates
    @param goal_radius The max distance from goal_position for the object
                       to be to still consider the goal achieved
    @param manip The manipulator to use for the push - if None the active
                 manipulator is used
    @param max_plan_duration The max time to run the planner
    @param shortcut_time The amount of time to spend shortcutting,
                         if 0. no shortcutting is performed
    @param render If true, render the trajectory while executing
    @param tracker The perception module to use to track the object
                    during pushing
    """
    try:
        if search:
            from or_pushing.discrete_search_push_planner import DiscreteSearchPushPlanner
            planner = DiscreteSearchPushPlanner(robot.GetEnv())
        else:
            from or_pushing.push_planner import PushPlanner
            planner = PushPlanner(robot.GetEnv())
    except ImportError:
        raise ActionError(
            'Unable to create PushPlanner. Is the randomized_rearrangement_planningrepository checked out in your workspace?'
            )
    if manip is None:
        with robot.GetEnv():
            manip = robot.GetActiveManipulator()
    with robot.GetEnv():
        from prpy.rave import Disabled
        from prpy.util import ComputeEnabledAABB
        with Disabled(table, padding_only=True):
            table_aabb = ComputeEnabledAABB(table)
        ee_pushing_transform = manip.GetEndEffectorTransform()
    table_pos = table_aabb.pos()
    table_extents = table_aabb.extents()
    sbounds = {'high': [table_pos[0] + table_extents[0], table_pos[1] +
        table_extents[1], 2.0 * numpy.pi], 'low': [table_pos[0] -
        table_extents[0], table_pos[1] - table_extents[1], 0]}
    ee_pushing_transform[:2, 3] = [0.0, 0.0]
    goal_pose = [goal_position[0], goal_position[1]]
    with robot.CreateRobotStateSaver():
        traj = planner.PushToPose(robot, obj, goal_pose, state_bounds=
            sbounds, pushing_manifold=ee_pushing_transform.flatten().tolist
            (), max_plan_duration=max_plan_duration, goal_radius=
            goal_radius, **kw_args)
    if traj is None:
        raise PlanningError('Failed to find pushing plan')
    from prpy.viz import RenderTrajectory
    with RenderTrajectory(robot, traj, color=[1, 0, 0, 1], render=render):
        if shortcut_time > 0:
            traj = planner.ShortcutPath(timelimit=shortcut_time)
        with RenderTrajectory(robot, traj, color=[0, 0, 1, 1], render=render):
            if tracker is not None:
                tracker.StartTrackObject(robot, obj.GetName())
            try:
                if manip.simulated:
                    planner.ExecutePlannedPath()
                else:
                    robot.ExecuteTrajectory(traj)
                    planner.SetFinalObjectPoses()
            finally:
                if tracker is not None:
                    tracker.StopTrackObject(robot, obj.GetName())
    return traj

import logging, numpy
from prpy.action import ActionMethod, ActionError
from prpy.planning.base import PlanningError
logger = logging.getLogger('herbpy')


@ActionMethod
def PushToPoseOnTable(robot, obj, table, goal_position, goal_radius, manip=
    None, max_plan_duration=30.0, shortcut_time=3.0, render=True, search=
    True, tracker=None, **kw_args):
    """
    @param robot The robot performing the push
    @param obj The object to push
    @param table The table kinbody the object is resting on
    @param goal_position The desired (x,y) position of the object in
                          world coordinates
    @param goal_radius The max distance from goal_position for the object
                       to be to still consider the goal achieved
    @param manip The manipulator to use for the push - if None the active
                 manipulator is used
    @param max_plan_duration The max time to run the planner
    @param shortcut_time The amount of time to spend shortcutting,
                         if 0. no shortcutting is performed
    @param render If true, render the trajectory while executing
    @param tracker The perception module to use to track the object
                    during pushing
    """
    try:
        if search:
            from or_pushing.discrete_search_push_planner import DiscreteSearchPushPlanner
            planner = DiscreteSearchPushPlanner(robot.GetEnv())
        else:
            from or_pushing.push_planner import PushPlanner
            planner = PushPlanner(robot.GetEnv())
    except ImportError:
        raise ActionError(
            'Unable to create PushPlanner. Is the randomized_rearrangement_planningrepository checked out in your workspace?'
            )
    if manip is None:
        with robot.GetEnv():
            manip = robot.GetActiveManipulator()
    with robot.GetEnv():
        from prpy.rave import Disabled
        from prpy.util import ComputeEnabledAABB
        with Disabled(table, padding_only=True):
            table_aabb = ComputeEnabledAABB(table)
        ee_pushing_transform = manip.GetEndEffectorTransform()
    table_pos = table_aabb.pos()
    table_extents = table_aabb.extents()
    sbounds = {'high': [table_pos[0] + table_extents[0], table_pos[1] +
        table_extents[1], 2.0 * numpy.pi], 'low': [table_pos[0] -
        table_extents[0], table_pos[1] - table_extents[1], 0]}
    ee_pushing_transform[:2, 3] = [0.0, 0.0]
    goal_pose = [goal_position[0], goal_position[1]]
    with robot.CreateRobotStateSaver():
        traj = planner.PushToPose(robot, obj, goal_pose, state_bounds=
            sbounds, pushing_manifold=ee_pushing_transform.flatten().tolist
            (), max_plan_duration=max_plan_duration, goal_radius=
            goal_radius, **kw_args)
    if traj is None:
        raise PlanningError('Failed to find pushing plan')
    from prpy.viz import RenderTrajectory
    with RenderTrajectory(robot, traj, color=[1, 0, 0, 1], render=render):
        if shortcut_time > 0:
            traj = planner.ShortcutPath(timelimit=shortcut_time)
        with RenderTrajectory(robot, traj, color=[0, 0, 1, 1], render=render):
            if tracker is not None:
                tracker.StartTrackObject(robot, obj.GetName())
            try:
                if manip.simulated:
                    planner.ExecutePlannedPath()
                else:
                    robot.ExecuteTrajectory(traj)
                    planner.SetFinalObjectPoses()
            finally:
                if tracker is not None:
                    tracker.StopTrackObject(robot, obj.GetName())
    return traj

#!/usr/bin/env python
import logging, numpy
from prpy.action import ActionMethod, ActionError
from prpy.planning.base import PlanningError
logger = logging.getLogger('herbpy')

@ActionMethod
def PushToPoseOnTable(robot, obj, table, goal_position, goal_radius,
                      manip=None, max_plan_duration=30.0,
                      shortcut_time=3., render=True, search=True, tracker=None,
                      **kw_args):
    """
    @param robot The robot performing the push
    @param obj The object to push
    @param table The table kinbody the object is resting on
    @param goal_position The desired (x,y) position of the object in
                          world coordinates
    @param goal_radius The max distance from goal_position for the object
                       to be to still consider the goal achieved
    @param manip The manipulator to use for the push - if None the active
                 manipulator is used
    @param max_plan_duration The max time to run the planner
    @param shortcut_time The amount of time to spend shortcutting,
                         if 0. no shortcutting is performed
    @param render If true, render the trajectory while executing
    @param tracker The perception module to use to track the object
                    during pushing
    """
    # Get a push planner
    try:
        if search:
            from or_pushing.discrete_search_push_planner import DiscreteSearchPushPlanner
            planner = DiscreteSearchPushPlanner(robot.GetEnv())
        else:
            from or_pushing.push_planner import PushPlanner
            planner = PushPlanner(robot.GetEnv())
    except ImportError:
        raise ActionError("Unable to create PushPlanner. Is the randomized_rearrangement_planning"
                          "repository checked out in your workspace?")

    # Get the manipulator
    if manip is None:
        with robot.GetEnv():
            manip = robot.GetActiveManipulator()


    with robot.GetEnv():
        from prpy.rave import Disabled
        from prpy.util import ComputeEnabledAABB
        with Disabled(table, padding_only=True):
            table_aabb = ComputeEnabledAABB(table)
        ee_pushing_transform = manip.GetEndEffectorTransform()

    # Make the state bounds be at the edges of the table
    table_pos = table_aabb.pos()
    table_extents = table_aabb.extents()
    sbounds = {'high': [table_pos[0] + table_extents[0],
                        table_pos[1] + table_extents[1],
                        2.*numpy.pi],
               'low': [table_pos[0] - table_extents[0],
                       table_pos[1] - table_extents[1],
                       0]}

    # Assume we want to keep the current orientation and height of the
    # manipulator throughout the push
    ee_pushing_transform[:2, 3] = [0., 0.] #ignore x,y pose

    # Compute the goal pose
    #table_height = table_pos[2] + table_extents[2]
    goal_pose = [goal_position[0],
                       goal_position[1]]

    with robot.CreateRobotStateSaver():
        traj = planner.PushToPose(robot, obj, goal_pose,
                                  state_bounds=sbounds,
                                  pushing_manifold=ee_pushing_transform.flatten().tolist(),
                                  max_plan_duration=max_plan_duration,
                                  goal_radius=goal_radius,
                                  **kw_args)
    if traj is None:
        raise PlanningError('Failed to find pushing plan')

    # Execute
    from prpy.viz import RenderTrajectory
    with RenderTrajectory(robot, traj, color=[1, 0, 0, 1], render=render):
        if shortcut_time > 0:
            traj = planner.ShortcutPath(timelimit=shortcut_time)
        with RenderTrajectory(robot, traj, color=[0, 0, 1, 1], render=render):
            if tracker is not None:
                tracker.StartTrackObject(robot, obj.GetName())
            try:
                if manip.simulated:
                    # Use the push planner code to simulate path execution.
                    # This simulates the pushing of the objects during
                    # execution of the trajectory.
                    planner.ExecutePlannedPath()
                else:
                    # Execute the trajectory
                    robot.ExecuteTrajectory(traj)

                    # During execution, object pushes won't be simulated.
                    # In the OpenRAVE world, the robot will instead move
                    # through the objects and probably be in collision at
                    # the end. This call sets all the objects to their
                    # expected poses at the end of the trajectory.
                    # If execution was successful, this should resolve
                    # collisions.
                    planner.SetFinalObjectPoses()
            finally:
                if tracker is not None:
                    tracker.StopTrackObject(robot, obj.GetName())

    return traj
