Python pybullet.setRealTimeSimulation方法代碼示例

# 需要導入模塊: import pybullet [as 別名]
# 或者: from pybullet import setRealTimeSimulation [as 別名]
def _reset(self):
#    print("-----------reset simulation---------------")
    p.resetSimulation()
    self.cartpole = p.loadURDF(os.path.join(pybullet_data.getDataPath(),"cartpole.urdf"),[0,0,0])
    self.timeStep = 0.01
    p.setJointMotorControl2(self.cartpole, 1, p.VELOCITY_CONTROL, force=0)
    p.setGravity(0,0, -10)
    p.setTimeStep(self.timeStep)
    p.setRealTimeSimulation(0)

    initialCartPos = self.np_random.uniform(low=-0.5, high=0.5, size=(1,))
    initialAngle = self.np_random.uniform(low=-0.5, high=0.5, size=(1,))
    p.resetJointState(self.cartpole, 1, initialAngle)
    p.resetJointState(self.cartpole, 0, initialCartPos)

    self.state = p.getJointState(self.cartpole, 1)[0:2] + p.getJointState(self.cartpole, 0)[0:2]

    return np.array(self.state) 

# 需要導入模塊: import pybullet [as 別名]
# 或者: from pybullet import setRealTimeSimulation [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 setRealTimeSimulation [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 setRealTimeSimulation [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 setRealTimeSimulation [as 別名]
def start(self, time_step=None):
        """Start the simulation."""

        if time_step:
            self._time_step = time_step
        # Choose real time or step simulation
        if self._time_step is None:
            p.setRealTimeSimulation(1)
        else:
            p.setRealTimeSimulation(0)
            p.setTimeStep(self._time_step) 

# 需要導入模塊: import pybullet [as 別名]
# 或者: from pybullet import setRealTimeSimulation [as 別名]
def launchSimulation(self, gui=True, use_shared_memory=False):
        """
        Launches a simulation instance

        Parameters:
            gui - Boolean, if True the simulation is launched with a GUI, and
            with no GUI otherwise
            use_shared_memory - Experimental feature, only taken into account
            if gui=False, False by default. If True, the simulation will use
            the pybullet SHARED_MEMORY_SERVER mode to create an instance. If
            multiple simulation instances are created, this solution allows a
            multicore parallelisation of the bullet motion servers (one for
            each instance). In DIRECT mode, such a parallelisation is not
            possible and the motion servers are manually stepped using the
            _stepSimulation method. (More information in the setup section of
            the qiBullet wiki, and in the pybullet documentation)

        Returns:
            physics_client - The id of the simulation client created
        """
        if gui:  # pragma: no cover
            physics_client = pybullet.connect(pybullet.GUI)
            pybullet.setRealTimeSimulation(1, physicsClientId=physics_client)
            pybullet.configureDebugVisualizer(
                pybullet.COV_ENABLE_RGB_BUFFER_PREVIEW,
                0,
                physicsClientId=physics_client)
            pybullet.configureDebugVisualizer(
                pybullet.COV_ENABLE_DEPTH_BUFFER_PREVIEW,
                0,
                physicsClientId=physics_client)
            pybullet.configureDebugVisualizer(
                pybullet.COV_ENABLE_SEGMENTATION_MARK_PREVIEW,
                0,
                physicsClientId=physics_client)
        else:
            if use_shared_memory:
                physics_client = pybullet.connect(
                    pybullet.SHARED_MEMORY_SERVER)

                pybullet.setRealTimeSimulation(
                    enableRealTimeSimulation=1,
                    physicsClientId=physics_client)
            else:
                physics_client = pybullet.connect(pybullet.DIRECT)
                threading.Thread(
                    target=self._stepSimulation,
                    args=[physics_client]).start()

        pybullet.setGravity(0, 0, -9.81, physicsClientId=physics_client)
        return physics_client