Source code for rl_environments.rx200.sim.robot_envs.rx200_robot_sim_zed2

#!/bin/python3

from gymnasium import spaces
from gymnasium.envs.registration import register
import numpy as np

from multiros.envs import GazeboBaseEnv

import rospy
import rostopic
from sensor_msgs.msg import JointState, PointCloud2, Image
from geometry_msgs.msg import Pose
from std_msgs.msg import Float64
from trajectory_msgs.msg import JointTrajectory, JointTrajectoryPoint

from cv_bridge import CvBridge
import cv2

# core modules of the framework
from multiros.utils import gazebo_core
from multiros.utils import gazebo_models
from multiros.utils import gazebo_physics
from multiros.utils.moveit_multiros import MoveitMultiros
from multiros.utils import ros_common
from multiros.utils import ros_controllers
from multiros.utils import ros_kinematics

from urdf_parser_py.urdf import URDF
from pykdl_utils.kdl_kinematics import KDLKinematics
from tf.transformations import euler_from_matrix

"""
Although it is best to register only the task environment, one can also register the robot environment. 
This is not necessary, but we can see if this section 
(Load the robot to gazebo and can control the robot with moveit or ros controllers)
works by calling "gymnasium.make" this env.
but you need to
    1. run gazebo - gazebo_core.launch_gazebo(launch_roscore=False, paused=False, pub_clock_frequency=100, gui=True)
    2. init a node - rospy.init_node('test_MyRobotGoalEnv')
    3. gymnasium.make("RX200RobotEnv-v0")
"""
register(
    id='RX200RobotEnv_zed2-v0',
    entry_point='rl_environments.rx200.sim.robot_envs.rx200_robot_sim_zed2:RX200RobotEnv',
    max_episode_steps=1000,
)


[docs] class RX200RobotEnv(GazeboBaseEnv.GazeboBaseEnv): """ Superclass for all RX200 Robot environments. - Uses a ZED2 camera for RGB and Depth images """ def __init__(self, ros_port: str = None, gazebo_port: str = None, gazebo_pid=None, seed: int = None, real_time: bool = False, action_cycle_time=0.0, load_cube: bool = False, load_table: bool = False, use_zed2: bool = False): """ Initializes a new Robot Environment Describe the robot and the sensors used in the env. Sensor Topic List: MoveIt: To get the pose and rpy of the robot. /joint_states: JointState received for the joints of the robot /rx200/zed2/depth/depth_registered: Depth image from ZED2 camera /rx200/zed2/left/image_rect_color: RGB image from ZED2 camera Actuators Topic List: MoveIt: Send the joint positions to the robot. /rx200/arm_controller/command: Send the joint positions to the arm controller /rx200/gripper_controller/command: Send the joint positions to the gripper controller """ rospy.loginfo("Start Init RX200RobotEnv Multiros") """ Change the ros/gazebo master """ if ros_port is not None: ros_common.change_ros_gazebo_master(ros_port=ros_port, gazebo_port=gazebo_port) """ parameters """ self.real_time = real_time # if True, the simulation will run in real time # we don't need to pause/unpause gazebo if we are running in real time if self.real_time: unpause_pause_physics = False else: unpause_pause_physics = True """ Unpause Gazebo """ if not self.real_time: gazebo_core.unpause_gazebo() """ Spawning the robot in Gazebo """ spawn_robot = True # location of the robot URDF file urdf_pkg_name = "reactorx200_description" urdf_file_name = "rx200_zed2.urdf.xacro" urdf_folder = "/urdf" # extra urdf args urdf_xacro_args = None # namespace of the robot namespace = "/rx200" # robot state publisher robot_state_publisher_max_freq = None new_robot_state_term = False robot_model_name = "rx200" robot_ref_frame = "world" # Set the initial pose of the robot model robot_pos_x = 0.0 robot_pos_y = 0.0 robot_pos_z = 0.0 if not load_table else 0.78 robot_ori_w = 1.0 robot_ori_x = 0.0 robot_ori_y = 0.0 robot_ori_z = 0.0 # controller (must be inside above pkg_name/config/) controllers_file = "reactorx200_controller.yaml" controllers_list = ["joint_state_controller", "arm_controller", "gripper_controller"] """ Spawn other objects in Gazebo """ # spawn a table self.load_table = load_table if load_table: gazebo_models.spawn_sdf_model_gazebo(pkg_name="reactorx200_description", file_name="model.sdf", model_folder="/models/table", model_name="table", namespace=namespace, pos_x=0.2) # above function pauses the simulation, so we need to unpause it for real-time if self.real_time: gazebo_core.unpause_gazebo() # spawn a cube if load_cube: gazebo_models.spawn_sdf_model_gazebo(pkg_name="reactorx200_description", file_name="block.sdf", model_folder="/models/block", model_name="red_cube", namespace=namespace, pos_x=0.35, pos_z=0.795 if load_table else 0.015) # above function pauses the simulation, so we need to unpause it for real-time if self.real_time: gazebo_core.unpause_gazebo() """ Set if the controllers in "controller_list" will be reset at the beginning of each episode, default is False. """ reset_controllers = False """ Set the reset mode of gazebo at the beginning of each episode "simulation": Reset gazebo simulation (Resets time) "world": Reset Gazebo world (Does not reset time) - default resetting the "simulation" restarts the entire Gazebo environment, including all models and their positions, while resetting the "world" retains the models but resets their properties and states within the world """ reset_mode = "world" """ You can adjust the simulation step mode of Gazebo with two options: 1. Using Unpause, set action and Pause gazebo 2. Using the step function of Gazebo. By default, the simulation step mode is set to 1 (gazebo pause and unpause services). However, if you choose simulation step mode 2, you can specify the number of steps Gazebo should take in each iteration. The default value for this is 1. """ sim_step_mode = 1 num_gazebo_steps = 1 """ Set gazebo physics parameters to change the speed of the simulation """ gazebo_max_update_rate = None gazebo_timestep = None if rospy.has_param('/rx200/gazebo_update_rate_multiplier'): gazebo_max_update_rate = rospy.get_param('/rx200/gazebo_update_rate_multiplier') rospy.loginfo(f"Applied Gazebo update_rate_multiplier = {gazebo_max_update_rate}") if rospy.has_param('/rx200/gazebo_time_step'): gazebo_timestep = rospy.get_param('/rx200/gazebo_time_step') rospy.loginfo(f"Applied Gazebo time_step = {gazebo_timestep}") """ kill rosmaster at the end of the env """ kill_rosmaster = True """ kill gazebo at the end of the env """ kill_gazebo = True """ Clean ros Logs at the end of the env """ clean_logs = False """ Init GazeboBaseEnv. """ super().__init__( spawn_robot=spawn_robot, urdf_pkg_name=urdf_pkg_name, urdf_file_name=urdf_file_name, urdf_folder=urdf_folder, urdf_xacro_args=urdf_xacro_args, namespace=namespace, robot_state_publisher_max_freq=robot_state_publisher_max_freq, new_robot_state_term=new_robot_state_term, robot_model_name=robot_model_name, robot_ref_frame=robot_ref_frame, robot_pos_x=robot_pos_x, robot_pos_y=robot_pos_y, robot_pos_z=robot_pos_z, robot_ori_w=robot_ori_w, robot_ori_x=robot_ori_x, robot_ori_y=robot_ori_y, robot_ori_z=robot_ori_z, controllers_file=controllers_file, controllers_list=controllers_list, reset_controllers=reset_controllers, reset_mode=reset_mode, sim_step_mode=sim_step_mode, num_gazebo_steps=num_gazebo_steps, gazebo_max_update_rate=gazebo_max_update_rate, gazebo_timestep=gazebo_timestep, kill_rosmaster=kill_rosmaster, kill_gazebo=kill_gazebo, clean_logs=clean_logs, ros_port=ros_port, gazebo_port=gazebo_port, gazebo_pid=gazebo_pid, seed=seed, unpause_pause_physics=unpause_pause_physics, action_cycle_time=action_cycle_time) """ Define ros publisher, subscribers and services for robot and sensors """ # ---------- joint state if namespace is not None and namespace != '/': self.joint_state_topic = namespace + "/joint_states" else: self.joint_state_topic = "/joint_states" self.joint_state_sub = rospy.Subscriber(self.joint_state_topic, JointState, self.joint_state_callback) self.joint_state = JointState() # ---------- Moveit ros_common.ros_launch_launcher(pkg_name="interbotix_xsarm_moveit_interface", launch_file_name="xsarm_moveit_interface.launch", args=["robot_model:=rx200", "dof:=5", "use_python_interface:=true", "use_moveit_rviz:=false"]) # ---------- ZED 2 Camera self.use_zed2 = use_zed2 if self.use_zed2: # depth image subscriber self.zed2_depth_sub = rospy.Subscriber("/rx200/zed2/depth/depth_registered", Image, self.zed2_depth_callback) self.zed2_depth = Image() self.cv_image_depth = None # rgb image subscriber self.zed2_rgb_sub = rospy.Subscriber("/rx200/zed2/left/image_rect_color", Image, self.zed2_rgb_callback) self.zed2_rgb = Image() self.cv_image_rgb = None """ Using the _check_connection_and_readiness method to check for the connection status of subscribers, publishers and services """ self._check_connection_and_readiness() """ initialise controller and sensor objects here """ self.arm_joint_names = ["waist", "shoulder", "elbow", "wrist_angle", "wrist_rotate"] self.gripper_joint_names = ["left_finger", "right_finger"] if self.real_time: # we don't need to pause/unpause gazebo if we are running in real time self.move_RX200_object = MoveitMultiros(arm_name='interbotix_arm', gripper_name='interbotix_gripper', robot_description="rx200/robot_description", ns="rx200", pause_gazebo=False) else: self.move_RX200_object = MoveitMultiros(arm_name='interbotix_arm', gripper_name='interbotix_gripper', robot_description="rx200/robot_description", ns="rx200") # low-level control # rostopic for arm trajectory controller self.arm_controller_pub = rospy.Publisher('/rx200/arm_controller/command', JointTrajectory, queue_size=10) # rostopic for gripper controller self.gripper_controller_pub = rospy.Publisher('/rx200/gripper_controller/command', JointTrajectory, queue_size=10) # parameters for calculating FK, IK self.ee_link = "rx200/ee_gripper_link" self.ref_frame = "rx200/base_link" # Fk with pykdl_utils - old method self.pykdl_robot = URDF.from_parameter_server(key='rx200/robot_description') self.kdl_kin = KDLKinematics(urdf=self.pykdl_robot, base_link=self.ref_frame, end_link=self.ee_link) # with ros_kinematics self.ros_kin = ros_kinematics.Kinematics_pyrobot(robot_description_parm="rx200/robot_description", base_link=self.ref_frame, end_link=self.ee_link) """ Finished __init__ method """ if not self.real_time: gazebo_core.pause_gazebo() else: gazebo_core.unpause_gazebo() # this is because loading models will pause the simulation rospy.loginfo("End Init RX200RobotEnv") # --------------------------------------------------- # Custom methods for the Custom Robot Environment """ Define the custom methods for the environment * get_model_pose: Get the pose of an object in Gazebo * spawn_cube_in_gazebo: Spawn a cube in Gazebo * remove_cube_in_gazebo: Remove the cube from Gazebo * fk_pykdl: Function to calculate the forward kinematics of the robot arm. We are using pykdl_utils. * calculate_fk: Calculate the forward kinematics of the robot arm using the ros_kinematics package. * calculate_ik: Calculate the inverse kinematics of the robot arm using the ros_kinematics package. * joint_state_callback: Get the joint state of the robot * move_arm_joints: Set a joint position target only for the arm joints using low-level ros controllers. * move_gripper_joints: Set a joint position target only for the gripper joints using low-level ros controllers. * set_trajectory_joints: Set a joint position target only for the arm joints. * set_trajectory_ee: Set a pose target for the end effector of the robot arm. * get_ee_pose: Get end-effector pose a geometry_msgs/PoseStamped message * get_ee_rpy: Get end-effector orientation as a list of roll, pitch, and yaw angles. * get_joint_angles: Get current joint angles of the robot arm - 5 elements * check_goal: Check if the goal is reachable * check_goal_reachable_joint_pos: Check if the goal is reachable with joint positions * zed2_depth_callback: Callback function for zed2 depth sensor * zed2_rgb_callback: Callback function for zed2 rgb sensor """
[docs] def get_model_pose(self, model_name="red_cube"): """ Get the pose of an object in Gazebo Args: model_name: name of the object whose pose is to be retrieved Returns: pose: pose of the object as a geometry_msgs/PoseStamped message """ if not self.real_time: gazebo_core.unpause_gazebo() header, pose, twist, success = gazebo_models.gazebo_get_model_state(model_name=model_name, relative_entity_name="rx200/base_link") if not self.real_time: gazebo_core.pause_gazebo() # pose contains the position and orientation of the object return pose
[docs] def spawn_cube_in_gazebo(self, model_pos_x, model_pos_y): """ Spawn a cube in Gazebo Args: model_pos_x: x-coordinate of the cube model_pos_y: y-coordinate of the cube Returns: done: True if the cube is spawned successfully """ if self.load_table: model_pos_z = 0.795 else: model_pos_z = 0.015 # spawn a cube done = gazebo_models.spawn_sdf_model_gazebo(pkg_name="reactorx200_description", file_name="block.sdf", model_folder="/models/block", model_name="red_cube", namespace="/rx200", pos_x=model_pos_x, pos_y=model_pos_y, pos_z=model_pos_z) # above function pauses the simulation, so we need to unpause it if self.real_time: gazebo_core.unpause_gazebo() return done
[docs] def remove_cube_in_gazebo(self): """ Remove the cube from Gazebo """ done = gazebo_models.remove_model_gazebo(model_name="red_cube") # above function pauses the simulation, so we need to unpause it if self.real_time: gazebo_core.unpause_gazebo() return done
[docs] def fk_pykdl(self, action): """ Function to calculate the forward kinematics of the robot arm. We are using pykdl_utils. Args: action: joint positions of the robot arm (in radians) Returns: ee_position: end-effector position as a numpy array """ # Calculate forward kinematics pose = self.kdl_kin.forward(action) # Extract position ee_position = np.array([pose[0, 3], pose[1, 3], pose[2, 3]], dtype=np.float32) # print("ee pos:", ee_position) # for debugging # print("ee pos dtype:", type(ee_position)) # for debugging # Extract rotation matrix and convert to euler angles # ee_orientation = euler_from_matrix(pose[:3, :3], 'sxyz') return ee_position
[docs] def calculate_fk(self, joint_positions, euler=True): """ Calculate the forward kinematics of the robot arm using the ros_kinematics package. Args: joint_positions: joint positions of the robot arm (in radians) euler: True if the orientation is to be returned as euler angles (default: True) Returns: done: True if the FK calculation is successful ee_position: end-effector position as a numpy array ee_rpy: end-effector orientation as a list of rpy or quaternion values """ done, ee_position, ee_ori = self.ros_kin.calculate_fk(joint_positions, des_frame=self.ee_link, euler=euler) return done, ee_position, ee_ori
[docs] def calculate_ik(self, target_pos, ee_ori=np.array([0.0, 0.0, 0.0, 1.0])): """ Calculate the inverse kinematics of the robot arm using the ros_kinematics package. Args: target_pos: target end-effector position as a numpy array ee_ori: end-effector orientation as a list of quaternion values (default: [0.0, 0.0, 0.0, 1.0]) Returns: done: True if the IK calculation is successful joint_positions: joint positions of the robot arm (in radians) """ # define the pose in 1D array [x, y, z, qx, qy, qz, qw] target_pose = np.concatenate((target_pos, ee_ori)) # get the current joint positions ee_position = self.get_joint_angles() done, joint_positions = self.ros_kin.calculate_ik(target_pose=target_pose, tolerance=[1e-3] * 6, init_joint_positions=ee_position) return done, joint_positions
[docs] def joint_state_callback(self, joint_state): """ Function to get the joint state of the robot. """ if joint_state is not None: self.joint_state = joint_state # joint names - not using this self.joint_state_names = list(joint_state.name) # get the current joint positions - using this joint_pos_all = list(joint_state.position) self.joint_pos_all = joint_pos_all # get the current joint velocities - we are using this self.current_joint_velocities = list(joint_state.velocity) # get the current joint efforts - not using this self.current_joint_efforts = list(joint_state.effort)
[docs] def move_arm_joints(self, q_positions: np.ndarray, time_from_start: float = 0.5) -> bool: """ Set a joint position target only for the arm joints using low-level ros controllers. Args: q_positions: joint positions of the robot arm time_from_start: time from start of the trajectory (set the speed to complete the trajectory) Returns: True if the action is successful """ # create a JointTrajectory object trajectory = JointTrajectory() trajectory.joint_names = self.arm_joint_names trajectory.points.append(JointTrajectoryPoint()) trajectory.points[0].positions = q_positions trajectory.points[0].velocities = [0.0] * len(self.arm_joint_names) trajectory.points[0].accelerations = [0.0] * len(self.arm_joint_names) trajectory.points[0].time_from_start = rospy.Duration(time_from_start) # send the trajectory to the controller self.arm_controller_pub.publish(trajectory) return True
[docs] def move_gripper_joints(self, q_positions: np.ndarray, time_from_start: float = 0.5) -> bool: """ Set a joint position target only for the gripper joints using low-level ros controllers. Args: q_positions: joint positions of the gripper time_from_start: time from start of the trajectory (set the speed to complete the trajectory) Returns: True if the action is successful """ # create a JointTrajectory object trajectory = JointTrajectory() trajectory.joint_names = self.gripper_joint_names trajectory.points.append(JointTrajectoryPoint()) trajectory.points[0].positions = q_positions trajectory.points[0].velocities = [0.0] * len(self.gripper_joint_names) trajectory.points[0].accelerations = [0.0] * len(self.gripper_joint_names) trajectory.points[0].time_from_start = rospy.Duration(time_from_start) # send the trajectory to the controller self.gripper_controller_pub.publish(trajectory) return True
[docs] def set_trajectory_joints(self, q_positions: np.ndarray) -> bool: """ Set a joint position target only for the arm joints using moveit. """ if self.real_time: # do not wait for the action to finish return self.move_RX200_object.set_trajectory_joints(q_positions, async_move=True) else: return self.move_RX200_object.set_trajectory_joints(q_positions)
[docs] def set_trajectory_ee(self, pos: np.ndarray) -> bool: """ Set a pose target for the end effector of the robot arm using moveit. """ if self.real_time: # do not wait for the action to finish return self.move_RX200_object.set_trajectory_ee(position=pos, async_move=True) else: return self.move_RX200_object.set_trajectory_ee(position=pos)
[docs] def get_ee_pose(self): """ Returns the end-effector pose as a geometry_msgs/PoseStamped message This gives us the best pose if we are using the moveit config of the ReactorX repo They are getting the pose with ee_gripper_link """ return self.move_RX200_object.get_robot_pose()
[docs] def get_ee_rpy(self): """ Returns the end-effector orientation as a list of roll, pitch, and yaw angles. """ return self.move_RX200_object.get_robot_rpy()
[docs] def get_joint_angles(self): """ get current joint angles of the robot arm - 5 elements Returns a list """ return self.move_RX200_object.get_joint_angles_robot_arm()
[docs] def check_goal(self, goal): """ Check if the goal is reachable """ return self.move_RX200_object.check_goal(goal)
[docs] def check_goal_reachable_joint_pos(self, joint_pos): """ Check if the goal is reachable with joint positions """ return self.move_RX200_object.check_goal_joint_pos(joint_pos)
[docs] def zed2_depth_callback(self, data): """ Callback function for zed2 depth sensor """ self.zed2_depth = data # Convert ROS image message to OpenCV format (32FC1) bridge = CvBridge() cv_image_depth = bridge.imgmsg_to_cv2(data, desired_encoding="32FC1") self.cv_image_depth = cv_image_depth
# print("Shape of depth:", cv_image_depth.shape) # for debugging # todo: for the CNN policy # (720, 1280) - for pytorch, this needs to be converted to (1, 720, 1280)
[docs] def zed2_rgb_callback(self, img_msg): """ Callback function for zed2 rgb sensor """ self.zed2_rgb = img_msg bridge = CvBridge() # Convert ROS image message to OpenCV format (BGR) cv_image_bgr = bridge.imgmsg_to_cv2(img_msg, desired_encoding="bgr8") # Convert from BGR to RGB (required for pytorch or tensorflow CNNs) - (720, 1280, 3) self.cv_image_rgb = cv2.cvtColor(cv_image_bgr, cv2.COLOR_BGR2RGB)
# print("Shape of rgb:", cv_image_rgb.shape) # for debugging # todo: for the CNN policy # (720, 1280, 3) - for pytorch, this needs to be converted to (3, 720, 1280) # helper fn for _check_connection_and_readiness def _check_joint_states_ready(self): """ Function to check if the joint states are received """ if not self.real_time: gazebo_core.unpause_gazebo() # Unpause Gazebo physics # Wait for the service to be available rospy.logdebug(rostopic.get_topic_type(self.joint_state_topic, blocking=True)) return True # helper fn for _check_connection_and_readiness def _check_moveit_ready(self): """ Function to check if moveit services are running """ rospy.wait_for_service("/rx200/move_group/trajectory_execution/set_parameters") rospy.logdebug(rostopic.get_topic_type("/rx200/planning_scene", blocking=True)) rospy.logdebug(rostopic.get_topic_type("/rx200/move_group/status", blocking=True)) return True # helper fn for _check_connection_and_readiness def _check_ros_controllers_ready(self): """ Function to check if ros controllers are running """ rospy.logdebug(rostopic.get_topic_type("/rx200/arm_controller/state", blocking=True)) rospy.logdebug(rostopic.get_topic_type("/rx200/gripper_controller/state", blocking=True)) return True def _check_zed2_ready(self): """ Function to check if zed2 sensor is running """ rospy.logdebug(rostopic.get_topic_type("/rx200/zed2/left/image_rect_color", blocking=True)) return True def _check_connection_and_readiness(self): """ Function to check the connection status of subscribers, publishers and services, as well as the readiness of all systems. """ self._check_moveit_ready() self._check_joint_states_ready() self._check_ros_controllers_ready() if self.use_zed2: self._check_zed2_ready() rospy.loginfo("All system are ready!") return True