Python pybullet.resetSimulation方法代碼示例

# 需要導入模塊: import pybullet [as 別名]
# 或者: from pybullet import resetSimulation [as 別名]
def setupWorld(self):
		numObjects = 50
		
		
		maximalCoordinates = False

		p.resetSimulation()
		p.setPhysicsEngineParameter(deterministicOverlappingPairs=1)
		p.loadURDF("planeMesh.urdf",useMaximalCoordinates=maximalCoordinates)
		kukaId = p.loadURDF("kuka_iiwa/model_free_base.urdf",[0,0,10], useMaximalCoordinates=maximalCoordinates)
		for i in range (p.getNumJoints(kukaId)):
			p.setJointMotorControl2(kukaId,i,p.POSITION_CONTROL,force=0)
		for i in range (numObjects):
			cube = p.loadURDF("cube_small.urdf",[0,i*0.02,(i+1)*0.2])
			#p.changeDynamics(cube,-1,mass=100)
		p.stepSimulation()
		p.setGravity(0,0,-10) 

# 需要導入模塊: import pybullet [as 別名]
# 或者: from pybullet import resetSimulation [as 別名]
def _reset(self):
    #print("KukaGymEnv _reset")
    self.terminated = 0
    p.resetSimulation()
    p.setPhysicsEngineParameter(numSolverIterations=150)
    p.setTimeStep(self._timeStep)
    p.loadURDF(os.path.join(self._urdfRoot,"plane.urdf"),[0,0,-1])

    p.loadURDF(os.path.join(self._urdfRoot,"table/table.urdf"), 0.5000000,0.00000,-.820000,0.000000,0.000000,0.0,1.0)

    xpos = 0.55 +0.12*random.random()
    ypos = 0 +0.2*random.random()
    ang = 3.14*0.5+3.1415925438*random.random()
    orn = p.getQuaternionFromEuler([0,0,ang])
    self.blockUid =p.loadURDF(os.path.join(self._urdfRoot,"block.urdf"), xpos,ypos,-0.15,orn[0],orn[1],orn[2],orn[3])

    p.setGravity(0,0,-10)
    self._kuka = kuka.Kuka(urdfRootPath=self._urdfRoot, timeStep=self._timeStep)
    self._envStepCounter = 0
    p.stepSimulation()
    self._observation = self.getExtendedObservation()
    return np.array(self._observation) 

# 需要導入模塊: import pybullet [as 別名]
# 或者: from pybullet import resetSimulation [as 別名]
def _reset(self):
    self.terminated = 0
    p.resetSimulation()
    p.setPhysicsEngineParameter(numSolverIterations=150)
    p.setTimeStep(self._timeStep)
    p.loadURDF(os.path.join(self._urdfRoot,"plane.urdf"),[0,0,-1])

    p.loadURDF(os.path.join(self._urdfRoot,"table/table.urdf"), 0.5000000,0.00000,-.820000,0.000000,0.000000,0.0,1.0)

    xpos = 0.5 +0.2*random.random()
    ypos = 0 +0.25*random.random()
    ang = 3.1415925438*random.random()
    orn = p.getQuaternionFromEuler([0,0,ang])
    self.blockUid =p.loadURDF(os.path.join(self._urdfRoot,"block.urdf"), xpos,ypos,-0.1,orn[0],orn[1],orn[2],orn[3])

    p.setGravity(0,0,-10)
    self._kuka = kuka.Kuka(urdfRootPath=self._urdfRoot, timeStep=self._timeStep)
    self._envStepCounter = 0
    p.stepSimulation()
    self._observation = self.getExtendedObservation()
    return np.array(self._observation) 

# 需要導入模塊: import pybullet [as 別名]
# 或者: from pybullet import resetSimulation [as 別名]
def setup_inverse_kinematics(self):
        """
        This function is responsible for doing any setup for inverse kinematics.
        Inverse Kinematics maps end effector (EEF) poses to joint angles that
        are necessary to achieve those poses. 
        """

        # Set up a connection to the PyBullet simulator.
        p.connect(p.DIRECT)
        p.resetSimulation()

        # get paths to urdfs
        self.robot_urdf = pjoin(
            self.bullet_data_path, "sawyer_description/urdf/sawyer_arm.urdf"
        )

        # load the urdfs
        self.ik_robot = p.loadURDF(self.robot_urdf, (0, 0, 0.9), useFixedBase=1)

        # Simulation will update as fast as it can in real time, instead of waiting for
        # step commands like in the non-realtime case.
        p.setRealTimeSimulation(1) 

# 需要導入模塊: import pybullet [as 別名]
# 或者: from pybullet import resetSimulation [as 別名]
def setup_inverse_kinematics(self):
        """
        This function is responsible for doing any setup for inverse kinematics.
        Inverse Kinematics maps end effector (EEF) poses to joint angles that
        are necessary to achieve those poses.
        """

        # Set up a connection to the PyBullet simulator.
        p.connect(p.DIRECT)
        p.resetSimulation()

        # get paths to urdfs
        self.robot_urdf = pjoin(
            self.bullet_data_path, "panda_description/urdf/panda_arm.urdf"
        )

        # load the urdfs
        self.ik_robot = p.loadURDF(self.robot_urdf, (0, 0, 0.9), useFixedBase=1)

        # Simulation will update as fast as it can in real time, instead of waiting for
        # step commands like in the non-realtime case.
        p.setRealTimeSimulation(1) 

# 需要導入模塊: import pybullet [as 別名]
# 或者: from pybullet import resetSimulation [as 別名]
def _setup(self):
    """Sets up the robot + tray + objects.
    """
    pybullet.resetSimulation(physicsClientId=self.cid)
    pybullet.setPhysicsEngineParameter(numSolverIterations=150,
                                       physicsClientId=self.cid)
    # pybullet.setTimeStep(self._time_step, physicsClientId=self.cid)
    pybullet.setGravity(0, 0, -10, physicsClientId=self.cid)
    plane_path = os.path.join(self._urdf_root, 'plane.urdf')
    pybullet.loadURDF(plane_path, [0, 0, -1],
                      physicsClientId=self.cid)
    table_path = os.path.join(self._urdf_root, 'table/table.urdf')
    pybullet.loadURDF(table_path, [0.0, 0.0, -.65],
                      [0., 0., 0., 1.], physicsClientId=self.cid)
    # Load the target object
    duck_path = os.path.join(self._urdf_root, 'duck_vhacd.urdf')
    pos = [0]*3
    orn = [0., 0., 0., 1.]
    self._target_uid = pybullet.loadURDF(
        duck_path, pos, orn, physicsClientId=self.cid) 

# 需要導入模塊: import pybullet [as 別名]
# 或者: from pybullet import resetSimulation [as 別名]
def _reset(self):
        # reset is called once at initialization of simulation
        self.vt = 0
        self.vd = 0
        self.maxV = 24.6 # 235RPM = 24,609142453 rad/sec
        self._envStepCounter = 0

        p.resetSimulation()
        p.setGravity(0,0,-10) # m/s^2
        p.setTimeStep(0.01) # sec
        planeId = p.loadURDF("plane.urdf")
        cubeStartPos = [0,0,0.001]
        cubeStartOrientation = p.getQuaternionFromEuler([0,0,0])

        path = os.path.abspath(os.path.dirname(__file__))
        self.botId = p.loadURDF(os.path.join(path, "balancebot_simple.xml"),
                           cubeStartPos,
                           cubeStartOrientation)

        # you *have* to compute and return the observation from reset()
        self._observation = self._compute_observation()
        return np.array(self._observation) 

# 需要導入模塊: import pybullet [as 別名]
# 或者: from pybullet import resetSimulation [as 別名]
def setupWorld():
	p.resetSimulation()
        p.setPhysicsEngineParameter(deterministicOverlappingPairs=1)
	p.loadURDF("planeMesh.urdf")
	kukaId = p.loadURDF("kuka_iiwa/model_free_base.urdf",[0,0,10])
	for i in range (p.getNumJoints(kukaId)):
		p.setJointMotorControl2(kukaId,i,p.POSITION_CONTROL,force=0)
	for i in range (numObjects):
		cube = p.loadURDF("cube_small.urdf",[0,i*0.02,(i+1)*0.2])
		#p.changeDynamics(cube,-1,mass=100)
	p.stepSimulation()
	p.setGravity(0,0,-10) 

# 需要導入模塊: import pybullet [as 別名]
# 或者: from pybullet import resetSimulation [as 別名]
def evaluate_params(evaluateFunc, params, objectiveParams, urdfRoot='', timeStep=0.01, maxNumSteps=10000, sleepTime=0):
  print('start evaluation')
  beforeTime = time.time()
  p.resetSimulation()

  p.setTimeStep(timeStep)
  p.loadURDF("%s/plane.urdf" % urdfRoot)
  p.setGravity(0,0,-10)

  global minitaur
  minitaur = Minitaur(urdfRoot)
  start_position = current_position()
  last_position = None  # for tracing line
  total_energy = 0

  for i in range(maxNumSteps):
    torques = minitaur.getMotorTorques()
    velocities = minitaur.getMotorVelocities()
    total_energy += np.dot(np.fabs(torques), np.fabs(velocities)) * timeStep

    joint_values = evaluate_func_map[evaluateFunc](i, params)
    minitaur.applyAction(joint_values)
    p.stepSimulation()
    if (is_fallen()):
      break

    if i % 100 == 0:
      sys.stdout.write('.')
      sys.stdout.flush()
    time.sleep(sleepTime)

  print(' ')

  alpha = objectiveParams[0]
  final_distance = np.linalg.norm(start_position - current_position())
  finalReturn = final_distance - alpha * total_energy
  elapsedTime = time.time() - beforeTime
  print ("trial for ", params, " final_distance", final_distance, "total_energy", total_energy, "finalReturn", finalReturn, "elapsed_time", elapsedTime)
  return finalReturn 

# 需要導入模塊: import pybullet [as 別名]
# 或者: from pybullet import resetSimulation [as 別名]
def _reset(self):
    """Environment reset called at the beginning of an episode.
    """
    # Set the camera settings.
    look = [0.23, 0.2, 0.54]
    distance = 1.
    pitch = -56 + self._cameraRandom*np.random.uniform(-3, 3)
    yaw = 245 + self._cameraRandom*np.random.uniform(-3, 3)
    roll = 0
    self._view_matrix = p.computeViewMatrixFromYawPitchRoll(
        look, distance, yaw, pitch, roll, 2)
    fov = 20. + self._cameraRandom*np.random.uniform(-2, 2)
    aspect = self._width / self._height
    near = 0.01
    far = 10
    self._proj_matrix = p.computeProjectionMatrixFOV(
        fov, aspect, near, far)
    
    self._attempted_grasp = False
    self._env_step = 0
    self.terminated = 0

    p.resetSimulation()
    p.setPhysicsEngineParameter(numSolverIterations=150)
    p.setTimeStep(self._timeStep)
    p.loadURDF(os.path.join(self._urdfRoot,"plane.urdf"),[0,0,-1])
    
    p.loadURDF(os.path.join(self._urdfRoot,"table/table.urdf"), 0.5000000,0.00000,-.820000,0.000000,0.000000,0.0,1.0)
            
    p.setGravity(0,0,-10)
    self._kuka = kuka.Kuka(urdfRootPath=self._urdfRoot, timeStep=self._timeStep)
    self._envStepCounter = 0
    p.stepSimulation()

    # Choose the objects in the bin.
    urdfList = self._get_random_object(
      self._numObjects, self._isTest)
    self._objectUids = self._randomly_place_objects(urdfList)
    self._observation = self._get_observation()
    return np.array(self._observation) 

# 需要導入模塊: import pybullet [as 別名]
# 或者: from pybullet import resetSimulation [as 別名]
def setup_inverse_kinematics(self, urdf_path):
        """
        This function is responsible for doing any setup for inverse kinematics.
        Inverse Kinematics maps end effector (EEF) poses to joint angles that
        are necessary to achieve those poses. 
        """

        # These indices come from the urdf file we're using
        self.effector_right = 27
        self.effector_left = 45

        # Use PyBullet to handle inverse kinematics.
        # Set up a connection to the PyBullet simulator.
        p.connect(p.DIRECT)
        p.resetSimulation()

        self.ik_robot = p.loadURDF(urdf_path, (0, 0, 0), useFixedBase=1)

        # Relevant joints we care about. Many of the joints are fixed and don't count, so
        # we need this second map to use the right ones.
        self.actual = [13, 14, 15, 16, 17, 19, 20, 31, 32, 33, 34, 35, 37, 38]

        self.num_joints = p.getNumJoints(self.ik_robot)
        n = p.getNumJoints(self.ik_robot)
        self.rest = []
        self.lower = []
        self.upper = []
        self.ranges = []
        for i in range(n):
            info = p.getJointInfo(self.ik_robot, i)
            # Retrieve lower and upper ranges for each relevant joint
            if info[3] > -1:
                self.rest.append(p.getJointState(self.ik_robot, i)[0])
                self.lower.append(info[8])
                self.upper.append(info[9])
                self.ranges.append(info[9] - info[8])

        # Simulation will update as fast as it can in real time, instead of waiting for
        # step commands like in the non-realtime case.
        p.setRealTimeSimulation(1) 

# 需要導入模塊: import pybullet [as 別名]
# 或者: from pybullet import resetSimulation [as 別名]
def restart(self):
        """Restart the simulation"""
        # Reset
        p.resetSimulation()
        self.load()
        self.start() 

# 需要導入模塊: import pybullet [as 別名]
# 或者: from pybullet import resetSimulation [as 別名]
def reset(self):
        '''
        Reset the robot and task
        '''
        if not self.fast_reset:
            pb.resetSimulation()
            self.task.clear()
            self.task.setup()
        self.task.reset()
        self.task.world.reset()
        # tick for a half second to make sure the world makes sense
        action = self.task.world.zeroAction()
        for _ in range(5):
            self.task.world.tick(action) 

# 需要導入模塊: import pybullet [as 別名]
# 或者: from pybullet import resetSimulation [as 別名]
def clean_everything(self):
        #p.resetSimulation()
        p.setGravity(0, 0, -self.gravity)
        #p.setDefaultContactERP(0.9)
        p.setPhysicsEngineParameter(fixedTimeStep=self.timestep*self.frame_skip, numSolverIterations=50, numSubSteps=(self.frame_skip-1)) 

# 需要導入模塊: import pybullet [as 別名]
# 或者: from pybullet import resetSimulation [as 別名]
def clean_everything(self):
		p.resetSimulation()
		p.setGravity(0, 0, -self.gravity)
		p.setPhysicsEngineParameter(fixedTimeStep=self.timestep, numSolverIterations=5, numSubSteps=2)