def drop(self, obj, table):
    pos1 = [0.4, -0.7, 1.1]
    rot_z = [0.7071, 0, 0, -0.7071]
    rot_x = [0, 1, 0, 0]
    rot = openravepy.quatMult(rot_z, rot_x).tolist()

    traj1, _ = self.traj_generator.traj_from_pose(pos1, rot)

    with self.env:
      # saving values
      orig_values = self.robot.GetDOFValues(
        self.robot.GetManipulator('rightarm').GetArmIndices())
      self.robot.SetDOFValues(traj1[-1],
        self.robot.GetManipulator('rightarm').GetArmIndices())
      pos2 = [0.0, -0.7, 1.0]
      traj2, _ = self.traj_generator.traj_from_pose(pos2, rot)
      # reset
      self.robot.SetDOFValues(orig_values,
        self.robot.GetManipulator('rightarm').GetArmIndices())

    self._execute_traj(traj1.tolist() + traj2.tolist())

    # open gripper
    self.robot.Release(obj)
    if self.use_ros:
      self.pr2.rgrip.open()

    # transforming the object
    T = obj.GetTransform()
    rot_angle = (np.pi / 2., 0., 0) #got this from the model
    rot_mat = openravepy.rotationMatrixFromAxisAngle(rot_angle)
    T[:3, :3] = rot_mat
    _, _, _, _, z = utils.get_object_limits(table)
    T[2, 3] = z
    obj.SetTransform(T)
Ejemplo n.º 2
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def put_left_arm_over_tray(robot, tray):
    """Move the robot's left arm so that it's about to grasp the right edge
    of the tray. Raises a generate_reaching_poses.GraspingPoseError if no
    IK solution can be found.
    
    Parameters:
    robot: a Robot instance
    tray: a KinBody instance
    """
    manip = robot.GetManipulator('leftarm')
    ikmodel = openravepy.databases.inversekinematics.InverseKinematicsModel(
                robot,iktype=openravepy.IkParameterization.Type.Transform6D)    
    if not ikmodel.load():
        ikmodel.autogenerate()    
    
    min_x, max_x, min_y, max_y, z = utils.get_object_limits(tray)
    z -= 0.06
    x = min_x + (max_x - min_x)/2
    y = max_y - 0.02
    gripper_angle = (np.pi, 0., 0) #pointing downward
    rot_mat = openravepy.rotationMatrixFromAxisAngle(gripper_angle)
    
    T = np.eye(4)    
    T[:3,:3] = rot_mat
    T[:3,3] = [x,y,z]
    
    sol = generate_reaching_poses.check_reachable(env, tray, manip, [T], False)
    if sol is not None:
        robot.SetDOFValues(sol, manip.GetArmIndices())
        #opening gripper
        robot.SetDOFValues([0.2], manip.GetGripperJoints())
    else:
        raise generate_reaching_poses.GraspingPoseError("No IK solution for tray right side")
Ejemplo n.º 3
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def create_cylinder(env, table, radius, height, body_name, max_radial_distance, rand, color):
    robot_pos = openravepy.poseFromMatrix(env.GetRobots()[0].GetTransform())[4:7]
    min_x, max_x, min_y, max_y, table_height = utils.get_object_limits(table)

    x = rand.uniform(min_x + radius, max_x - radius)
    y = rand.uniform(min_y + radius, max_y - radius)
    # while (x - robot_pos[0])**2 + (y - robot_pos[1])**2 > max_radial_distance:
    #     x = rand.uniform(min_x + radius, max_x - radius)
    #     y = rand.uniform(min_y + radius, max_y - radius)
    z = table_height + height / 2

    t = openravepy.matrixFromPose([1, 0, 0, 0, x, y, z])
    cylinder = object_models.create_cylinder(env, body_name, t, [radius, height], color)
    env.Add(cylinder, False)

    return cylinder
Ejemplo n.º 4
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def spawn_table_pr2(env, robot_dist_from_table, tabletype='rll'):
    if tabletype == 'rll':
        thickness = 0.2
        legheight = 0.6
        table = object_models.create_table(env, TABLE_NAMES[tabletype], 2.235, 0.94, thickness, 1.3, 0.6, legheight)
    elif tabletype == 'small':
        thickness = 0.2
        legheight = 0.6
        table = object_models.create_table(env, TABLE_NAMES[tabletype], 0.7 - robot_dist_from_table, 1.5, thickness, 0.2 - robot_dist_from_table, 0.2, legheight)

    x = -utils.get_object_limits(table)[0] + 0.35 + robot_dist_from_table
    y = 0
    z = thickness / 2 + legheight
    table.SetTransform(openravepy.matrixFromPose([1, 0, 0, 0, x, y, z]))
    # env.AddKinBody(table)
    env.AddRobot(table)

    # robot = env.ReadRobotXMLFile("../models/pr2/pr2-head-kinect.xml")
    robot = env.ReadRobotXMLFile("../models/pr2/pr2.zae")
    env.Add(robot)
def generate_manip_above_surface(obj, num_poses = 20):
    
    gripper_angle = (np.pi, 0., 0) #just got this from trial and test
    rot_mat = openravepy.rotationMatrixFromAxisAngle(gripper_angle)
    
    min_x, max_x, min_y, max_y, z = utils.get_object_limits(obj)
    
    gripper_height = 0.18
    z += gripper_height + 0.03
    
    poses = []
    for _ in range(num_poses):
        x = np.random.uniform(min_x, max_x)
        y = np.random.uniform(min_y, max_y)
        
        T = np.eye(4)
        T[:3,:3] = rot_mat
        T[:3,3] = [x,y,z]
        poses.append(T)
    
    return poses
Ejemplo n.º 6
0
class Executor(object):
    def __init__(self, robot, viewer=False):
        self.robot = robot
        self.env = robot.GetEnv()
        self.grasping_locations_cache = {}
        self.viewMode = viewer
        self.tray_stack = []
        self.unMovableObjects = ['table']
        self.objSequenceInPlan = []
        self.handled_objs = set()

        v = self.robot.GetActiveDOFValues()
        v[self.robot.GetJoint('torso_lift_joint').GetDOFIndex()] = 1.0
        self.robot.SetDOFValues(v)

        if use_ros:
            self.pr2robot = PR2Robot(self.env)
            self.pr2robot.robot = self.robot
            self.arm_mover = PR2MoveArm()

        #loading the IK models
        utils.pr2_tuck_arm(robot)
        robot.SetActiveManipulator('leftarm')
        ikmodel = openravepy.databases.inversekinematics.InverseKinematicsModel(
            robot, iktype=openravepy.IkParameterization.Type.Transform6D)
        if not ikmodel.load():
            ikmodel.autogenerate()
        robot.SetActiveManipulator('rightarm')
        ikmodel = openravepy.databases.inversekinematics.InverseKinematicsModel(
            robot, iktype=openravepy.IkParameterization.Type.Transform6D)
        if not ikmodel.load():
            ikmodel.autogenerate()

    def getGoodBodies(self):
        if not doJointInterpretation:
            body_filter = lambda b: b.GetName().startswith("random") or\
                                    b.GetName().startswith('object')
        else:
            futureObjects = set(self.objSequenceInPlan) - self.handled_objs
            body_filter = lambda b: (b.GetName() not in futureObjects) \
                                   and (b.GetName() not in self.unMovableObjects)
        return filter(body_filter, self.env.GetBodies())

    def setObjSequenceInPlan(self, objList):
        self.objSequenceInPlan = objList
        print
        print "Will try to pick objs in the order " + repr(objList)

    def clear_gp_cache(self):
        self.grasping_locations_cache = {}
        self.objSequenceInPlan = []

    def pause(self, msg=None):
        if self.viewMode:
            if msg is None:
                raw_input("Press return to continue")
            else:
                print msg
                #time.sleep(0.5)
                raw_input(msg + "... [press return]")

    def moveto(self, _unused1, pose):
        if type(pose) is str:
            print "Pose ", pose, " ignored"
            return

        else:
            print "Moving to pose "
            self.robot.SetTransform(pose)

    def movetowithinr1(self, _unused1, unused2):
        print "Ignore me!"

    def movetowithinr2(self, _unused1, unused2):
        print "ignore me !"


#    def movetoacrossrooms(self, _unused1, unused2, unused):
#        print "ignore me !"

    def movetoacrossrooms(self, _unused1, unused2):
        print "ignore me !"

    def grasp(self, obj_name, _unused1, _unused2):
        # update openrave
        if use_ros:
            self.pr2robot.update_rave()

        print "Grasping object ", obj_name
        obj = self.env.GetKinBody(obj_name)
        if obj is None:
            raise ValueError("Object %s does not exist" % obj_name)

        cached_value = self.grasping_locations_cache.get(obj_name, None)
        if cached_value is None:
            print "Object %s is not cached, looking for a value" % obj_name
            try:
                pose, sol, torso_angle = generate_reaching_poses.get_collision_free_grasping_pose(
                    self.getGoodBodies(),
                    self.robot,
                    obj,
                    max_trials=collision_free_grasping_samples)
                self.grasping_locations_cache[
                    obj_name] = pose, sol, torso_angle
            except generate_reaching_poses.GraspingPoseError:
                e = ExecutingException("Object in collision")
                e.robot = self.robot
                e.object_to_grasp = obj
                raise e
        else:
            print "Object %s already cached" % obj_name
            pose, sol, torso_angle = cached_value

        if OpenRavePlanning:
            test_grasp_move.move_arm(robot, pose, 'r')

        if use_ros:
            # # object matching
            detector, _ = detector_and_cluster_map
            # index = cluster_map[obj_name]

            # # generating grasps
            # box_msg = detector.detect_bounding_box(detector.last_detection_msg.detection.clusters[index])
            # desired_grasps = grasp_generator.generate_grasps(box_msg, 8)
            # grasp_generator.draw_grasps(desired_grasps)

            # object matching
            detector.detect()
            box_msgs = []
            for cluster in detector.last_detection_msg.detection.clusters:
                box_msgs.append(detector.detect_bounding_box(cluster))
            box_msg, index = utils.find_nearest_box(obj, box_msgs)

            # generating grasps
            desired_grasps = grasp_generator.generate_grasps(box_msg, 16)
            grasp_generator.draw_grasps(desired_grasps)

            # pickup
            grabber = object_pickup.Grabber()
            processing_reply = detector.call_collision_map_processing(
                detector.last_detection_msg)

            # # reset planning scene
            self.arm_mover.reset_collision_map()
            self.arm_mover.update_planning_scene()

            res = grabber.pickup_object(
                processing_reply.graspable_objects[index],
                processing_reply.collision_object_names[index],
                processing_reply.collision_support_surface_name,
                'right_arm',
                desired_grasps=desired_grasps,
                lift_desired_distance=0.3)
            if res is None:
                e = ExecutingException("ROS pickup failed")
                e.robot = self.robot
                e.object_to_grasp = obj
                raise e

            # update openrave
            if use_ros:
                self.pr2robot.update_rave()
        else:
            self.pause("Moving to location")
            self.robot.SetTransform(pose)

            self.pause("Moving arm")
            self.robot.SetDOFValues(
                [torso_angle], [self.robot.GetJointIndex('torso_lift_joint')])
            self.robot.SetDOFValues(
                sol,
                self.robot.GetActiveManipulator().GetArmIndices())

        self.robot.Grab(obj)

    def putdown(self, obj_name, table_name, _unused1):

        print "Putting down object %s on %s" % (obj_name, table_name)
        obj = self.env.GetKinBody(obj_name)
        if obj is None:
            raise ValueError("Object %s does not exist" % obj_name)

        if table_name.startswith("dest_"):
            #this is a fixed location!!!
            T = getattr(tray_world, table_name, None)
            if T is None:
                raise ValueError(
                    "The location %s is unknown! check spelling?" % table_name)
            T = T.copy()
            #put the gripper facing down
            gripper_angle = (np.pi, 0., 0)  #just got this from trial and test
            rot_mat = openravepy.rotationMatrixFromAxisAngle(gripper_angle)
            T[:3, :3] = rot_mat
            T[2, 3] += 0.03

            try:
                (pose, sol, torso_angle
                 ) = generate_reaching_poses.get_collision_free_ik_pose(
                     self.getGoodBodies(),
                     self.env,
                     obj,
                     self.robot,
                     T,
                     only_reachable=False,
                     max_trials=1000)
            except generate_reaching_poses.GraspingPoseError:
                raise ExecutingException(
                    "Putting down on location has problems!")

        else:
            table = self.env.GetKinBody(table_name)
            if table is None:
                raise ValueError("Object %s does not exist" % table_name)

            try:
                pose, sol, torso_angle = generate_reaching_poses.get_collision_free_surface_pose(
                    self.getGoodBodies(),
                    self.robot,
                    table,
                )
            except generate_reaching_poses.GraspingPoseError, e:
                raise e

        if use_ros:
            # Move arm to drop location
            p = (0.3, -0.5, 0.3)
            q = transformations.quaternion_from_euler(0, 0, -numpy.pi / 2)
            res = self.arm_mover.move_right_arm(p, q, '/torso_lift_link', 30)
            if not res:
                e = ExecutingException("ROS putdown step 1 failed")
                e.robot = self.robot
                e.object_to_grasp = obj
                raise e

            p = (0.1, -0.8, -0.2)
            q = transformations.quaternion_from_euler(0, 0, -numpy.pi / 2)
            res = self.arm_mover.move_right_arm(p, q, '/torso_lift_link', 30)
            if not res:
                e = ExecutingException("ROS putdown step 2 failed")
                e.robot = self.robot
                e.object_to_grasp = obj
                raise e

            # Drop object
            joint_mover = PR2JointMover()
            joint_mover.open_right_gripper(True)

            # update openrave
            if use_ros:
                self.pr2robot.update_rave()
        else:
            self.pause("Moving to location")
            self.robot.SetTransform(pose)

            self.pause("Moving arm")
            self.robot.SetDOFValues(
                [torso_angle], [self.robot.GetJointIndex('torso_lift_joint')])
            self.robot.SetDOFValues(
                sol,
                self.robot.GetActiveManipulator().GetArmIndices())

        self.robot.Release(obj)

        #putting the object straight
        if table_name.startswith("dest_"):
            print "Putting object in the right location"
            T = getattr(tray_world, table_name, None)
        else:
            T = obj.GetTransform()
            rot_angle = (np.pi / 2., 0., 0)  #got this from the model
            rot_mat = openravepy.rotationMatrixFromAxisAngle(rot_angle)
            T[:3, :3] = rot_mat
            _, _, _, _, z = utils.get_object_limits(table)
            T[2, 3] = z

        obj.SetTransform(T)
        try:
            del self.grasping_locations_cache[obj_name]
        except KeyError:
            print "funny, object ", obj_name, " was not in cache.. something wrong here!"
            raw_input("Press return to continue")