Merge branch 'main' of github.com:Rooholla-KhorramBakht/Go2Py into main
This commit is contained in:
commit
8c364f3805
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@ -131,8 +131,7 @@ class CommandInterface:
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self.stance_width_cmd = 0.25
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def setGaitType(self, gait_type):
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assert gait_type in [key for key in self.gaits.keys()], f'The gain type should be in {
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[key for key in self.gaits.keys()]}'
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assert gait_type in [key for key in self.gaits.keys()], f'The gain type should be in {self.gaits.keys()}'
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self.gait = torch.tensor(self.gaits[gait_type])
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def get_command(self):
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@ -6,13 +6,26 @@ from Go2Py import ASSETS_PATH
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import os
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from scipy.spatial.transform import Rotation
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pnt = np.array([-0.2, 0, 0.05])
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lidar_angles = np.linspace(0.0, 2 * np.pi, 1024).reshape(-1, 1)
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x_vec = np.cos(lidar_angles)
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y_vec = np.sin(lidar_angles)
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z_vec = np.zeros_like(x_vec)
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vec = np.concatenate([x_vec, y_vec, z_vec], axis=1)
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nray = vec.shape[0]
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geomid = np.zeros(nray, np.int32)
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dist = np.zeros(nray, np.float64)
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class Go2Sim:
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def __init__(self, render=True, dt=0.002):
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def __init__(self, mode='lowlevel', render=True, dt=0.002, xml_path=None):
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if xml_path is None:
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self.model = mujoco.MjModel.from_xml_path(
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os.path.join(ASSETS_PATH, 'mujoco/go2.xml')
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)
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else:
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self.model = mujoco.MjModel.from_xml_path(xml_path)
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self.simulated = True
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self.data = mujoco.MjData(self.model)
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self.dt = dt
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@ -68,6 +81,25 @@ class Go2Sim:
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self.kv = np.zeros(12)
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self.latest_command_stamp = time.time()
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self.actuator_tau = np.zeros(12)
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self.mode = mode
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if self.mode == 'highlevel':
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from Go2Py.control.walk_these_ways import CommandInterface, loadParameters, Policy, WalkTheseWaysAgent, HistoryWrapper
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checkpoint_path = os.path.join(ASSETS_PATH,'checkpoints/walk_these_ways')
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self.cfg = loadParameters(checkpoint_path)
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self.policy = Policy(checkpoint_path)
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self.command_profile = CommandInterface()
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self.agent = WalkTheseWaysAgent(self.cfg, self.command_profile, robot=self)
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self.agent = HistoryWrapper(self.agent)
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self.control_dt = self.cfg["control"]["decimation"] * self.cfg["sim"]["dt"]
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self.obs = self.agent.reset()
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self.standUpReset()
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self.step_counter = 0
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self.step = self.stepHighlevel
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self.ex_sum=0
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self.ey_sum=0
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self.e_omega_sum=0
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else:
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self.step = self.stepLowlevel
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def reset(self):
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self.q_nominal = np.hstack(
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@ -75,6 +107,9 @@ class Go2Sim:
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)
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self.data.qpos = self.q_nominal
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self.data.qvel = np.zeros(18)
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self.ex_sum=0
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self.ey_sum=0
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self.e_omega_sum=0
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def standUpReset(self):
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self.q0 = self.standing_q
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@ -117,7 +152,7 @@ class Go2Sim:
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self.tau_ff = tau_ff
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self.latest_command_stamp = time.time()
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def step(self):
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def stepLowlevel(self):
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state = self.getJointStates()
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q, dq = state['q'], state['dq']
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tau = np.diag(self.kp) @ (self.q_des - q).reshape(12, 1) + \
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@ -131,6 +166,30 @@ class Go2Sim:
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if self.render and (self.step_counter % self.render_ds_ratio) == 0:
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self.viewer.sync()
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def stepHighlevel(self, vx, vy, omega_z, body_z_offset=0, step_height = 0.08, kp=[2, 0.5, 0.5], ki=[0.02, 0.01, 0.01]):
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policy_info = {}
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if self.step_counter % (self.control_dt // self.dt) == 0:
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action = self.policy(self.obs, policy_info)
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self.obs, ret, done, info = self.agent.step(action)
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#Body velocity tracker PI controller
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_, q = self.getPose()
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world_R_body = Rotation.from_quat([q[1], q[2], q[3], q[0]]).as_matrix()
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body_v = world_R_body.T@self.data.qvel[0:3].reshape(3,1)
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ex = (vx-body_v[0])
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ey = (vy-body_v[1])
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e_omega = (omega_z-self.data.qvel[5])
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self.ex_sum+=ex
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self.ey_sum+=ey
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self.e_omega_sum+=e_omega
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self.command_profile.yaw_vel_cmd = np.clip(kp[2]*e_omega+ki[2]*self.e_omega_sum + omega_z, -2*np.pi, 2*np.pi)
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self.command_profile.x_vel_cmd = np.clip(kp[0]*ex+ki[0]*self.ex_sum + vx, -2.5, 2.5)
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self.command_profile.y_vel_cmd = np.clip(kp[1]*ey+ki[1]*self.ey_sum + vy,-1.5, 1.5)
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self.command_profile.body_height_cmd = body_z_offset
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self.command_profile.footswing_height_cmd = step_height
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self.step_counter+=1
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self.stepLowlevel()
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def getSiteJacobian(self, site_name):
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id = mujoco.mj_name2id(self.model, mujoco.mjtObj.mjOBJ_SITE, site_name)
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assert id > 0, 'The requested site could not be found'
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@ -151,6 +210,29 @@ class Go2Sim:
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g_in_body = R.T @ np.array([0.0, 0.0, -1.0]).reshape(3, 1)
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return g_in_body
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def getLaserScan(self, max_range=30):
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t, q = self.getPose()
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world_R_body = Rotation.from_quat([q[1], q[2], q[3], q[0]]).as_matrix()
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pnt = t.copy()
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pnt[2]+=0.25
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vec_in_w = (world_R_body@vec.T).T
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mujoco.mj_multiRay(
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m=self.model,
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d=self.data,
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pnt=pnt,
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vec=vec_in_w.flatten(),
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geomgroup=None,
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flg_static=1,
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bodyexclude=-1,
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geomid=geomid,
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dist=dist,
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nray=nray,
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cutoff=max_range#mujoco.mjMAXVAL,
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)
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pcd = dist.reshape(-1, 1) * vec
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idx = np.where(np.logical_and(dist!=-1, dist<max_range))[0]
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return {"pcd": pcd[idx,...], "geomid": geomid[idx,...], "dist": dist[idx,...]}
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def overheat(self):
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return False
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@ -0,0 +1,90 @@
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import struct
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import threading
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import time
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import numpy as np
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import rclpy
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import tf2_ros
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from rclpy.node import Node
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from rclpy.qos import QoSProfile
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from rclpy.executors import MultiThreadedExecutor
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from geometry_msgs.msg import TransformStamped
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from scipy.spatial.transform import Rotation as R
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def ros2_init(args=None):
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rclpy.init(args=args)
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def ros2_close():
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rclpy.shutdown()
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class ROS2ExecutorManager:
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"""A class to manage the ROS2 executor. It allows to add nodes and start the executor in a separate thread."""
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def __init__(self):
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self.executor = MultiThreadedExecutor()
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self.nodes = []
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self.executor_thread = None
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def add_node(self, node: Node):
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"""Add a new node to the executor."""
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self.nodes.append(node)
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self.executor.add_node(node)
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def _run_executor(self):
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try:
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self.executor.spin()
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except KeyboardInterrupt:
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pass
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finally:
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self.terminate()
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def start(self):
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"""Start spinning the nodes in a separate thread."""
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self.executor_thread = threading.Thread(target=self._run_executor)
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self.executor_thread.start()
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def terminate(self):
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"""Terminate all nodes and shutdown rclpy."""
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for node in self.nodes:
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node.destroy_node()
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rclpy.shutdown()
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if self.executor_thread:
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self.executor_thread.join()
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class ROS2TFInterface(Node):
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def __init__(self, parent_name, child_name, node_name):
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super().__init__(f'{node_name}_tf2_listener')
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self.parent_name = parent_name
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self.child_name = child_name
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self.tfBuffer = tf2_ros.Buffer()
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self.listener = tf2_ros.TransformListener(self.tfBuffer, self)
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self.T = None
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self.stamp = None
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self.running = True
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self.thread = threading.Thread(target=self.update_loop)
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self.thread.start()
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self.trans = None
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def update_loop(self):
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while self.running:
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try:
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self.trans = self.tfBuffer.lookup_transform(self.parent_name, self.child_name, rclpy.time.Time(), rclpy.time.Duration(seconds=0.1))
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except (tf2_ros.LookupException, tf2_ros.ConnectivityException, tf2_ros.ExtrapolationException) as e:
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print(e)
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time.sleep(0.01)
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def get_pose(self):
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if self.trans is None:
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return None
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else:
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translation = [self.trans.transform.translation.x, self.trans.transform.translation.y, self.trans.transform.translation.z]
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rotation = [self.trans.transform.rotation.x, self.trans.transform.rotation.y, self.trans.transform.rotation.z, self.trans.transform.rotation.w]
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self.T = np.eye(4)
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self.T[0:3, 0:3] = R.from_quat(rotation).as_matrix()
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self.T[:3, 3] = translation
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self.stamp = self.trans.header.stamp.nanosec * 1e-9 + self.trans.header.stamp.sec
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return self.T
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def close(self):
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self.running = False
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self.thread.join()
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self.destroy_node()
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@ -0,0 +1,31 @@
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from launch import LaunchDescription
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from launch.actions import IncludeLaunchDescription
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from launch.launch_description_sources import PythonLaunchDescriptionSource
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from launch.substitutions import ThisLaunchFileDir
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from launch_ros.actions import Node
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def generate_launch_description():
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return LaunchDescription([
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Node(
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name='go2_cam',
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namespace='go2/cam',
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package='realsense2_camera',
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executable='realsense2_camera_node',
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parameters=[{
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'enable_infra1': True,
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'enable_infra2': True,
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'enable_color': True,
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'enable_depth': False,
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'depth_module.emitter_enabled': 0,
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'rgb_camera.profile':'640x480x30',
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'depth_module.profile': '640x480x30',
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'enable_gyro': True,
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'enable_accel': True,
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'gyro_fps': 400,
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'accel_fps': 200,
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'unite_imu_method': 2,
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# 'tf_publish_rate': 0.0
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}]
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)
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])
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@ -1,5 +1,12 @@
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Lowlevel Simulation"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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@ -16,7 +23,7 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"robot = Go2Sim()\n",
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"robot = Go2Sim(mode='lowlevel')\n",
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"robot.standUpReset()"
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]
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},
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@ -44,6 +51,77 @@
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" robot.setCommands(np.zeros(12), np.zeros(12), np.zeros(12), np.zeros(12), tau)\n",
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" robot.step()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Highlevel Simulation"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"from Go2Py.sim.mujoco import Go2Sim\n",
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"import numpy as np"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"robot = Go2Sim(mode='highlevel')\n",
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"robot.standUpReset()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import time\n",
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"robot.standUpReset\n",
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"for i in range(10000):\n",
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" robot.step(0,0,0., step_height=0,kp=[2, 0.5, 0.5], ki=[0.02, 0.01, 0.01])\n",
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" time.sleep(robot.dt)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"robot.getLaserScan()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import mujoco\n",
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"mujoco.mjMAXVAL"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import matplotlib.pyplot as plt\n",
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"lidar = robot.getLaserScan(max_range=3.)\n",
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"idx = np.where(lidar['dist']!=-1)[0]\n",
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"plt.plot(lidar['dist'][idx])"
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]
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}
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],
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"metadata": {
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|
@ -62,7 +140,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.18"
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"version": "3.10.12"
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}
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},
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"nbformat": 4,
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|
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File diff suppressed because one or more lines are too long
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