properly comment config, example locomotion and unitree_g1 class

examples/unitree_g1/gr00t_locomotion.py

@@ -44,26 +44,28 @@ GROOT_DEFAULT_ANGLES = np.array(
         0.0,
         0.0,
         0.0,
-        0.0,  # left arm (zeroed)
+        0.0,  # left arm
         0.0,
         0.0,
         0.0,
         0.0,
         0.0,
         0.0,
-        0.0,  # right arm (zeroed)
+        0.0,  # right arm
     ],
     dtype=np.float32,
 )
 
-JOINTS_TO_ZERO = [12, 14, 20, 21, 27, 28]  # waist yaw/pitch, wrist pitch/yaw
+G1_MODEL = "g1_23"
-PROBLEMATIC_JOINTS = [12, 14, 20, 21, 27, 28]
+if G1_MODEL == "g1_23":
+    MISSING_JOINTS = [12, 14, 20, 21, 27, 28]  # waist yaw/pitch, wrist pitch/yaw
+elif G1_MODEL == "g1_29":
+    MISSING_JOINTS = []  # waist yaw/pitch, wrist pitch/yaw
 
 LOCOMOTION_ACTION_SCALE = 0.25
 
 LOCOMOTION_CONTROL_DT = 0.02
 
-
 ANG_VEL_SCALE: float = 0.25
 DOF_POS_SCALE: float = 1.0
 DOF_VEL_SCALE: float = 0.05
@@ -97,21 +99,13 @@ class GrootLocomotionController:
     """
 
     def __init__(self, policy_balance, policy_walk, robot, config):
-        """
-        Initialize the GR00T locomotion controller.
 
-        Args:
-            policy_balance: ONNX InferenceSession for balance/standing policy
-            policy_walk: ONNX InferenceSession for walking policy
-            robot: Reference to the UnitreeG1 robot instance
-            config: UnitreeG1Config object with locomotion parameters
-        """
         self.policy_balance = policy_balance
         self.policy_walk = policy_walk
         self.robot = robot
         self.config = config
 
-        self.locomotion_cmd = np.array([0.0, 0.0, 0.0], dtype=np.float32)  # vx, vy, yaw_rate
+        self.locomotion_cmd = np.array([0.0, 0.0, 0.0], dtype=np.float32)  # vx, vy, theta_dot
 
         # GR00T-specific state
         self.groot_qj_all = np.zeros(29, dtype=np.float32)
@@ -123,7 +117,7 @@ class GrootLocomotionController:
         self.groot_height_cmd = 0.74  # Default base height
         self.groot_orientation_cmd = np.array([0.0, 0.0, 0.0], dtype=np.float32)
 
-        # Initialize history with zeros
+        # input to gr00t is 6 frames (6*86D=516)
         for _ in range(6):
             self.groot_obs_history.append(np.zeros(86, dtype=np.float32))
 
@@ -134,42 +128,39 @@ class GrootLocomotionController:
         logger.info("GrootLocomotionController initialized")
 
     def groot_locomotion_run(self):
-        # Get current obs
+
+        # get current observation
         robot_state = self.robot.get_observation()
+
         if robot_state is None:
             return
 
-        # Update remote controller from lowstate
+        # get command from remote controller
         if robot_state.wireless_remote is not None:
             self.robot.remote_controller.set(robot_state.wireless_remote)
-
+            if self.robot.remote_controller.button[0]:  # R1 - raise waist
-            # R1/R2 buttons for height control on real robot (button indices 0 and 4)
+                self.groot_height_cmd += 0.001
-            if self.robot.remote_controller.button[0]:  # R1 - raise height
-                self.groot_height_cmd += 0.001  # Small increment per timestep (~0.05m per second at 50Hz)
                 self.groot_height_cmd = np.clip(self.groot_height_cmd, 0.50, 1.00)
-            if self.robot.remote_controller.button[4]:  # R2 - lower height
+            if self.robot.remote_controller.button[4]:  # R2 - lower waist
-                self.groot_height_cmd -= 0.001  # Small decrement per timestep
+                self.groot_height_cmd -= 0.001
                 self.groot_height_cmd = np.clip(self.groot_height_cmd, 0.50, 1.00)
         else:
-            # Default to zero commands if no remote data
             self.robot.remote_controller.lx = 0.0
             self.robot.remote_controller.ly = 0.0
             self.robot.remote_controller.rx = 0.0
             self.robot.remote_controller.ry = 0.0
 
-        # Get ALL 29 joint positions and velocities
+        self.locomotion_cmd[0] = self.robot.remote_controller.ly # forward/backward
+        self.locomotion_cmd[1] = self.robot.remote_controller.lx * -1 # left/right
+        self.locomotion_cmd[2] = self.robot.remote_controller.rx * -1 # rotation rate
+
         for i in range(29):
             self.groot_qj_all[i] = robot_state.motor_state[i].q
             self.groot_dqj_all[i] = robot_state.motor_state[i].dq
 
-        # Get IMU data
-        quat = robot_state.imu_state.quaternion
-        ang_vel = np.array(robot_state.imu_state.gyroscope, dtype=np.float32)
 
-        gravity_orientation = self.robot.get_gravity_orientation(quat)
+        # adapt observation for g1_23dof
-
+        for idx in MISSING_JOINTS:
-        # Zero out specific joints in observation
-        for idx in JOINTS_TO_ZERO:
             self.groot_qj_all[idx] = 0.0
             self.groot_dqj_all[idx] = 0.0
 
@@ -177,24 +168,25 @@ class GrootLocomotionController:
         qj_obs = self.groot_qj_all.copy()
         dqj_obs = self.groot_dqj_all.copy()
 
+        # express imu data in gravity frame of reference
+        quat = robot_state.imu_state.quaternion
+        ang_vel = np.array(robot_state.imu_state.gyroscope, dtype=np.float32)
+        gravity_orientation = self.robot.get_gravity_orientation(quat)
+
+        #scale joint positions and velocities before policy inference
         qj_obs = (qj_obs - GROOT_DEFAULT_ANGLES) * DOF_POS_SCALE
         dqj_obs = dqj_obs * DOF_VEL_SCALE
         ang_vel_scaled = ang_vel * ANG_VEL_SCALE
 
-        # Get velocity commands (keyboard or remote)
-        if not self.robot.simulation_mode:
-            self.locomotion_cmd[0] = self.robot.remote_controller.ly
-            self.locomotion_cmd[1] = self.robot.remote_controller.lx * -1
-            self.locomotion_cmd[2] = self.robot.remote_controller.rx * -1
 
-        # Build 86D single frame observation (GR00T format)
+        # build single frame observation
         self.groot_obs_single[:3] = self.locomotion_cmd * np.array(CMD_SCALE)
         self.groot_obs_single[3] = self.groot_height_cmd
         self.groot_obs_single[4:7] = self.groot_orientation_cmd
         self.groot_obs_single[7:10] = ang_vel_scaled
         self.groot_obs_single[10:13] = gravity_orientation
-        self.groot_obs_single[13:42] = qj_obs  # 29D joint positions
+        self.groot_obs_single[13:42] = qj_obs
-        self.groot_obs_single[42:71] = dqj_obs  # 29D joint velocities
+        self.groot_obs_single[42:71] = dqj_obs
         self.groot_obs_single[71:86] = self.groot_action  # 15D previous actions
 
         # Add to history and stack observations (6 frames × 86D = 516D)
@@ -209,29 +201,25 @@ class GrootLocomotionController:
         # Run policy inference (ONNX) with 516D stacked observation
         obs_tensor = torch.from_numpy(self.groot_obs_stacked).unsqueeze(0)
 
-        # Select appropriate policy based on command magnitude (dual-policy system)
         cmd_magnitude = np.linalg.norm(self.locomotion_cmd)
+        
         if cmd_magnitude < 0.05:
-            # Use balance/standing policy for small commands
+            # balance/standing policy for small commands
             selected_policy = self.policy_balance
         else:
-            # Use walking policy for movement commands
+            # walking policy for movement commands
             selected_policy = self.policy_walk
 
+        # run policy inference
         ort_inputs = {selected_policy.get_inputs()[0].name: obs_tensor.cpu().numpy()}
         ort_outs = selected_policy.run(None, ort_inputs)
         self.groot_action = ort_outs[0].squeeze()
 
-        # Zero out waist actions (yaw=12, roll=13, pitch=14) - only use leg actions (0-11)
+        # transform action back to target joint positions
-        self.groot_action[12] = 0.0  # Waist yaw
-        self.groot_action[13] = 0.0  # Waist roll
-        self.groot_action[14] = 0.0  # Waist pitch
-
-        # Transform action to target joint positions (15D: legs + waist)
         target_dof_pos_15 = GROOT_DEFAULT_ANGLES[:15] + self.groot_action * LOCOMOTION_ACTION_SCALE
 
-        # Send commands to LEG motors (0-11)
+        # command motors 
-        for i in range(12):
+        for i in range(15):
             motor_idx = i
             self.robot.msg.motor_cmd[motor_idx].q = target_dof_pos_15[i]
             self.robot.msg.motor_cmd[motor_idx].qd = 0
@@ -239,24 +227,15 @@ class GrootLocomotionController:
             self.robot.msg.motor_cmd[motor_idx].kd = self.robot.kd[motor_idx]
             self.robot.msg.motor_cmd[motor_idx].tau = 0
 
-        # Send WAIST commands - but SKIP waist yaw (12) and waist pitch (14)
+        # adapt action for g1_23dof
-        # Only send waist roll (13)
+        for joint_idx in MISSING_JOINTS:
-        waist_roll_idx = 13
-        waist_roll_action_idx = 13
-        self.robot.msg.motor_cmd[waist_roll_idx].q = target_dof_pos_15[waist_roll_action_idx]
-        self.robot.msg.motor_cmd[waist_roll_idx].qd = 0
-        self.robot.msg.motor_cmd[waist_roll_idx].kp = self.robot.kp[waist_roll_idx]
-        self.robot.msg.motor_cmd[waist_roll_idx].kd = self.robot.kd[waist_roll_idx]
-        self.robot.msg.motor_cmd[waist_roll_idx].tau = 0
-
-        # Zero out the problematic joints (waist yaw, waist pitch, wrist pitch/yaw)
-        for joint_idx in PROBLEMATIC_JOINTS:
             self.robot.msg.motor_cmd[joint_idx].q = 0.0
             self.robot.msg.motor_cmd[joint_idx].qd = 0
             self.robot.msg.motor_cmd[joint_idx].kp = self.robot.kp[joint_idx]
             self.robot.msg.motor_cmd[joint_idx].kd = self.robot.kd[joint_idx]
             self.robot.msg.motor_cmd[joint_idx].tau = 0
 
+        #send action to robot
         self.robot.send_action(self.robot.msg)
 
     def _locomotion_thread_loop(self):
@@ -276,7 +255,6 @@ class GrootLocomotionController:
         logger.info("Locomotion thread stopped")
 
     def start_locomotion_thread(self):
-        """Start the background locomotion control thread."""
         if self.locomotion_running:
             logger.warning("Locomotion thread already running")
             return
@@ -285,10 +263,10 @@ class GrootLocomotionController:
         self.locomotion_running = True
         self.locomotion_thread = threading.Thread(target=self._locomotion_thread_loop, daemon=True)
         self.locomotion_thread.start()
+
         logger.info("Locomotion control thread started!")
 
     def stop_locomotion_thread(self):
-        """Stop the background locomotion control thread."""
         if not self.locomotion_running:
             return
 
@@ -298,32 +276,48 @@ class GrootLocomotionController:
             self.locomotion_thread.join(timeout=2.0)
         logger.info("Locomotion control thread stopped")
 
-    def init_groot_locomotion(self):
+    def reset_robot(self):
-        """Initialize GR00T-style locomotion for ONNX policies (29 DOF, 15D actions)."""
+        """Move robot legs to default standing position over 2 seconds (arms are not moved)."""
-        logger.info("Starting GR00T locomotion initialization...")
+        total_time = 3.0
+        num_step = int(total_time / self.robot.control_dt)
 
-        # Reset legs to default position
+        # Only control legs, not arms (first 12 joints)
-        self.robot.reset_legs()
+        default_pos = GROOT_DEFAULT_ANGLES  # First 12 values are leg angles
+        dof_size = len(default_pos)
 
-        # Wait 3 seconds
+        # Get current lowstate
-        time.sleep(3.0)
+        robot_state = self.robot.get_observation()
 
-        # Start locomotion policy thread
+        # Record the current leg positions
-        logger.info("Starting GR00T locomotion policy control...")
+        init_dof_pos = np.zeros(dof_size, dtype=np.float32)
-        self.start_locomotion_thread()
+        for i in range(dof_size):
+            init_dof_pos[i] = robot_state.motor_state[i].q
 
+        # Move legs to default pos
+        for i in range(num_step):
+            alpha = i / num_step
+            for motor_idx in range(dof_size):
+                target_pos = default_pos[motor_idx]
+                self.robot.msg.motor_cmd[motor_idx].q = init_dof_pos[motor_idx] * (1 - alpha) + target_pos * alpha
+                self.robot.msg.motor_cmd[motor_idx].qd = 0
+                self.robot.msg.motor_cmd[motor_idx].kp = self.robot.kp[motor_idx]
+                self.robot.msg.motor_cmd[motor_idx].kd = self.robot.kd[motor_idx]
+                self.robot.msg.motor_cmd[motor_idx].tau = 0
+            self.robot.msg.crc = self.robot.crc.Crc(self.robot.msg)
+            self.robot.lowcmd_publisher.Write(self.robot.msg)
+            time.sleep(self.robot.control_dt)
+        logger.info("Reached default position (legs only)")
 
 if __name__ == "__main__":
-    # 1. Load policies externally (separate from robot initialization)
+    
+    #load policies
     policy_balance, policy_walk = load_groot_policies()
 
-    # 2. Create config (no locomotion_control=True since we're using external controller)
+    #initialize robot
     config = UnitreeG1Config()
-
-    # 3. Initialize robot
     robot = UnitreeG1(config)
 
-    # 4. Create GR00T locomotion controller with loaded policies
+    #initialize gr00t locomotion controller
     groot_controller = GrootLocomotionController(
         policy_balance=policy_balance,
         policy_walk=policy_walk,
@@ -331,14 +325,16 @@ if __name__ == "__main__":
         config=config,
     )
 
-    # 5. Initialize and start locomotion
+    #reset legs and start locomotion thread
-    groot_controller.init_groot_locomotion()
+    groot_controller.reset_robot()
+    groot_controller.start_locomotion_thread()
 
-    # Robot is now ready with locomotion control!
+    #log status
-    print("Robot initialized with GR00T locomotion policies")
+    logger.info("Robot initialized with GR00T locomotion policies")
-    print("Locomotion controller running in background thread")
+    logger.info("Locomotion controller running in background thread")
-    print("Press Ctrl+C to stop")
+    logger.info("Press Ctrl+C to stop")
 
+    #keep robot alive
     try:
         while True:
             time.sleep(1.0)

src/lerobot/robots/unitree_g1/config_unitree_g1.py

@@ -26,7 +26,6 @@ from ..config import RobotConfig
 @dataclass
 class UnitreeG1Config(RobotConfig):
     # id: str = "unitree_g1"
-    simulation_mode: bool = False
 
     kp: list = field(default_factory=lambda: [
         150, 150, 150, 300, 40, 40,  # Left leg pitch, roll, yaw, knee, ankle pitch, ankle roll
@@ -50,12 +49,6 @@ class UnitreeG1Config(RobotConfig):
         3, 3, 3, 3, 3, 3, # Other
     ])
 
-    arm_velocity_limit = 100.0
+    control_dt = 1.0 / 250.0 # 250Hz
-    control_dt = 1.0 / 250.0
 
-    leg_joint2motor_idx: list = field(default_factory=lambda: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11])
-
-    default_leg_angles: list = field(
-        default_factory=lambda: [-0.1, 0.0, 0.0, 0.3, -0.2, 0.0, -0.1, 0.0, 0.0, 0.3, -0.2, 0.0]
-    )
 

src/lerobot/robots/unitree_g1/unitree_g1.py

@@ -12,10 +12,10 @@ from unitree_sdk2py.idl.default import unitree_hg_msg_dds__LowCmd_
 from unitree_sdk2py.idl.unitree_hg.msg.dds_ import (
     LowCmd_ as hg_LowCmd,
     LowState_ as hg_LowState,
-)  # idl for g1, h1_2
+)
 from unitree_sdk2py.utils.crc import CRC
 
-from lerobot.robots.unitree_g1.g1_utils import G1_29_JointArmIndex, G1_29_JointIndex
+from lerobot.robots.unitree_g1.g1_utils import G1_29_JointIndex
 from lerobot.robots.unitree_g1.unitree_sdk2_socket import (
     ChannelFactoryInitialize,
     ChannelPublisher,
@@ -36,12 +36,13 @@ H1_2_Num_Motors = 35
 H1_Num_Motors = 20
 
 
+
 class MotorState:
     def __init__(self):
-        self.q = None
+        self.q = None # position
-        self.dq = None
+        self.dq = None # velocity
-        self.tau_est = None  # Estimated torque
+        self.tau_est = None  # estimated torque
-        self.temperature = None  # Motor temperature
+        self.temperature = None  # motor temperature
 
 
 class IMUState:
@@ -52,7 +53,7 @@ class IMUState:
         self.rpy = None  # [roll, pitch, yaw] (rad)
         self.temperature = None  # IMU temperature
 
-
+#g1 observation class
 class G1_29_LowState:
     def __init__(self):
         self.motor_state = [MotorState() for _ in range(G1_29_Num_Motors)]
@@ -78,7 +79,9 @@ class UnitreeG1(Robot):
     config_class = UnitreeG1Config
     name = "unitree_g1"
 
+    #unitree remote controller
     class RemoteController:
+        
         def __init__(self):
             self.lx = 0
             self.ly = 0
@@ -102,60 +105,48 @@ class UnitreeG1(Robot):
         logger.info("Initialize UnitreeG1...")
 
         self.config = config
-        self.q_target = np.zeros(14)
-        self.tauff_target = np.zeros(14)
-        self.simulation_mode = config.simulation_mode
 
-        # Unified kp/kd arrays for all 35 motors
-        self.kp = np.array(config.kp, dtype=np.float32)
-        self.kd = np.array(config.kd, dtype=np.float32)
-
-        self.arm_velocity_limit = config.arm_velocity_limit
         self.control_dt = config.control_dt
 
-        # Initialize DDS
+        # connect robot
-        ChannelFactoryInitialize(0)
+        self.connect()
 
-        # Always use debug mode (direct motor control)
+        # initialize direct motor control interface
         self.lowcmd_publisher = ChannelPublisher(kTopicLowCommand_Debug, hg_LowCmd)
         self.lowcmd_publisher.Init()
         self.lowstate_subscriber = ChannelSubscriber(kTopicLowState, hg_LowState)
         self.lowstate_subscriber.Init()
         self.lowstate_buffer = DataBuffer()
 
-        # initialize subscribe thread
+        # initialize subscribe thread to read robot state
         self.subscribe_thread = threading.Thread(target=self._subscribe_motor_state)
         self.subscribe_thread.daemon = True
         self.subscribe_thread.start()
 
-        while not self.lowstate_buffer.GetData():
+
-            time.sleep(0.1)
-            logger.warning("[UnitreeG1] Waiting to subscribe dds...")
-        logger.warning("[UnitreeG1] Subscribe dds ok.")
 
         # initialize hg's lowcmd msg
         self.crc = CRC()
         self.msg = unitree_hg_msg_dds__LowCmd_()
         self.msg.mode_pr = 0
-        self.msg.mode_machine = self.get_mode_machine()
+        self.msg.mode_machine = self.lowstate_subscriber.Read().mode_machine
+
+        # initialize all motors with unified kp/kd from config
+        lowstate = self.lowstate_buffer.GetData()
+
+        self.kp = np.array(config.kp, dtype=np.float32)
+        self.kd = np.array(config.kd, dtype=np.float32)
 
-        # Initialize all motors with unified kp/kd from config
         for id in G1_29_JointIndex:
             self.msg.motor_cmd[id].mode = 1
             self.msg.motor_cmd[id].kp = self.kp[id.value]
             self.msg.motor_cmd[id].kd = self.kd[id.value]
-            self.msg.motor_cmd[id].q = self.get_current_motor_q()[id.value]
+            self.msg.motor_cmd[id].q = lowstate.motor_state[id.value].q
 
-        # Both update different parts of self.msg, both call Write()
+        # Initialize remote controller
-        self.publish_thread = None
-        self.ctrl_lock = threading.Lock()
-        self.publish_thread = threading.Thread(target=self._ctrl_motor_state)
-        self.publish_thread.daemon = True
-        self.publish_thread.start()
-        logger.warning("Arm control publish thread started")
         self.remote_controller = self.RemoteController()
 
-    def _subscribe_motor_state(self):
+    def _subscribe_motor_state(self): #polls robot state @ 250Hz
         while True:
             start_time = time.time()
             msg = self.lowstate_subscriber.Read()
@@ -186,143 +177,43 @@ class UnitreeG1(Robot):
             sleep_time = max(0, (self.control_dt - all_t_elapsed))  # maintina constant control dt
             time.sleep(sleep_time)
 
-    def ctrl_dual_arm_go_home(self):
-        """Move both the left and right arms of the robot to their home position by setting the target joint angles (q) and torques (tau) to zero."""
-        logger.info("[G1_29_ArmController] ctrl_dual_arm_go_home start...")
-        max_attempts = 100
-        current_attempts = 0
-        with self.ctrl_lock:
-            self.q_target = np.zeros(14)
-            # self.q_target[G1_29_JointIndex.kLeftElbow] = 0.5
-            # self.tauff_target = np.zeros(14)
-        tolerance = 0.05  # Tolerance threshold for joint angles to determine "close to zero", can be adjusted based on your motor's precision requirements
-        while current_attempts < max_attempts:
-            current_q = self.get_current_dual_arm_q()
-            if np.all(np.abs(current_q) < tolerance):
-                if self.motion_mode:
-                    for weight in np.linspace(1, 0, num=101):
-                        self.msg.motor_cmd[G1_29_JointIndex.kNotUsedJoint0].q = weight
-                        time.sleep(0.02)
-                logger.info("[G1_29_ArmController] both arms have reached the home position.")
-                break
-            current_attempts += 1
-            time.sleep(0.05)
-
-    def clip_arm_q_target(self, target_q, velocity_limit):
-        current_q = self.get_current_dual_arm_q()
-        delta = target_q - current_q
-        motion_scale = np.max(np.abs(delta)) / (velocity_limit * self.control_dt)
-        cliped_arm_q_target = current_q + delta / max(motion_scale, 1.0)
-        return cliped_arm_q_target
-
-    def _ctrl_motor_state(self):
-        """Arm control thread - publishes commands for arms only."""
-        while True:
-            start_time = time.time()
-
-            with self.ctrl_lock:
-                arm_q_target = self.q_target
-                arm_tauff_target = self.tauff_target
-
-            if self.simulation_mode:
-                cliped_arm_q_target = arm_q_target
-            else:
-                cliped_arm_q_target = self.clip_arm_q_target(
-                    arm_q_target, velocity_limit=self.arm_velocity_limit
-                )
-
-            for idx, id in enumerate(G1_29_JointArmIndex):
-                self.msg.motor_cmd[id].q = cliped_arm_q_target[idx]
-                self.msg.motor_cmd[id].dq = 0
-                self.msg.motor_cmd[id].tau = arm_tauff_target[idx]
-
-            # Zero out specific joints when in simulation mode
-            if self.simulation_mode:
-                # Waist joints
-                self.msg.motor_cmd[G1_29_JointIndex.kWaistYaw].q = 0.0
-                self.msg.motor_cmd[G1_29_JointIndex.kWaistPitch].q = 0.0
-                # Wrist joints
-                self.msg.motor_cmd[G1_29_JointIndex.kLeftWristPitch].q = 0.0
-                self.msg.motor_cmd[G1_29_JointIndex.kLeftWristyaw].q = 0.0
-                self.msg.motor_cmd[G1_29_JointIndex.kRightWristPitch].q = 0.0
-                self.msg.motor_cmd[G1_29_JointIndex.kRightWristYaw].q = 0.0
-
-            self.msg.crc = self.crc.Crc(self.msg)
-            self.lowcmd_publisher.Write(self.msg)
-
-            current_time = time.time()
-            all_t_elapsed = current_time - start_time
-            sleep_time = max(0, (self.control_dt - all_t_elapsed))
-            time.sleep(sleep_time)
-            # logger.debug(f"arm_velocity_limit:{self.arm_velocity_limit}")
-            # logger.debug(f"sleep_time:{sleep_time}")
-
-    def ctrl_dual_arm(self, q_target, tauff_target):
-        """Set control target values q & tau of the left and right arm motors."""
-        with self.ctrl_lock:
-            self.q_target = q_target
-            self.tauff_target = tauff_target
-
-    def get_mode_machine(self):
-        """Return current dds mode machine."""
-        return self.lowstate_subscriber.Read().mode_machine
-
-    def get_current_motor_q(self):
-        """Return current state q of all body motors."""
-        return np.array([self.lowstate_buffer.GetData().motor_state[id].q for id in G1_29_JointIndex])
-
-    def get_current_dual_arm_q(self):
-        """Return current state q of the left and right arm motors."""
-        return np.array([self.lowstate_buffer.GetData().motor_state[id].q for id in G1_29_JointArmIndex])
-
-    def get_current_dual_arm_dq(self):
-        """Return current state dq of the left and right arm motors."""
-        return np.array([self.lowstate_buffer.GetData().motor_state[id].dq for id in G1_29_JointArmIndex])
-
     @cached_property
     def action_features(self) -> dict[str, type]:
-        return {f"{G1_29_JointArmIndex(motor).name}.pos": float for motor in G1_29_JointArmIndex}
+        return {f"{G1_29_JointIndex(motor).name}.pos": float for motor in G1_29_JointIndex}
 
-    def calibrate(self) -> None:
+    def calibrate(self) -> None:#robot is already calibrated
-        self.calibration = json.load(open("src/lerobot/robots/unitree_g1/arm_calibration.json"))
+        pass
-        self.calibrated = True
 
     def configure(self) -> None:
         pass
 
-    def connect(self, calibrate: bool = True) -> None:
+    def connect(self, calibrate: bool = True) -> None: #connect to DDS
-        # Connect cameras
+        ChannelFactoryInitialize(0)
-        for cam in self.cameras.values():
+
-            cam.connect()
+        while not self.lowstate_buffer.GetData():
-        logger.info(f"{self} connected with {len(self.cameras)} camera(s).")
+            time.sleep(0.1)
+            logger.warning("[UnitreeG1] Waiting to subscribe dds...")
+        logger.warning("[UnitreeG1] Subscribe dds ok.")
 
     def disconnect(self):
-        # Disconnect cameras
+        pass
-        for cam in self.cameras.values():
-            cam.disconnect()
-
-        # Close MuJoCo environment if in simulation mode
-        if self.simulation_mode and hasattr(self, "mujoco_env"):
-            logger.info("Closing MuJoCo environment...")
-            print(self.mujoco_env)
-            self.mujoco_env["hub_env"][0].envs[0].kill_sim()
-
-        logger.info(f"{self} disconnected.")
 
     def get_observation(self) -> dict[str, Any]:
         return self.lowstate_buffer.GetData()
 
     @property
     def is_calibrated(self) -> bool:
-        return self.calibrated
+        return True
 
     @property
     def is_connected(self) -> bool:
-        return all(cam.is_connected for cam in self.cameras.values())
+        if self.lowstate_buffer.GetData() is None:
+            return False
+        return True
 
     @property
     def _motors_ft(self) -> dict[str, type]:
-        return {f"{G1_29_JointArmIndex(motor).name}.pos": float for motor in G1_29_JointArmIndex}
+        return {f"{G1_29_JointIndex(motor).name}.pos": float for motor in G1_29_JointIndex}
 
     @property
     def _cameras_ft(self) -> dict[str, tuple]:
@@ -338,44 +229,7 @@ class UnitreeG1(Robot):
         self.msg.crc = self.crc.Crc(action)
         self.lowcmd_publisher.Write(action)
 
-    def reset_legs(self):
+    def get_gravity_orientation(self, quaternion):#get gravity orientation from quaternion
-        """Move robot legs to default standing position over 2 seconds (arms are not moved)."""
-        total_time = 2.0
-        num_step = int(total_time / self.control_dt)
-
-        # Only control legs, not arms
-        dof_idx = self.config.leg_joint2motor_idx
-        default_pos = np.array(self.config.default_leg_angles, dtype=np.float32)
-        dof_size = len(dof_idx)
-
-        # Get current lowstate
-        lowstate = self.lowstate_buffer.GetData()
-        if lowstate is None:
-            logger.error("Cannot get lowstate")
-            return
-
-        # Record the current leg positions
-        init_dof_pos = np.zeros(dof_size, dtype=np.float32)
-        for i in range(dof_size):
-            init_dof_pos[i] = lowstate.motor_state[dof_idx[i]].q
-
-        # Move legs to default pos
-        for i in range(num_step):
-            alpha = i / num_step
-            for j in range(dof_size):
-                motor_idx = dof_idx[j]
-                target_pos = default_pos[j]
-                self.msg.motor_cmd[motor_idx].q = init_dof_pos[j] * (1 - alpha) + target_pos * alpha
-                self.msg.motor_cmd[motor_idx].qd = 0
-                self.msg.motor_cmd[motor_idx].kp = self.kp[motor_idx]
-                self.msg.motor_cmd[motor_idx].kd = self.kd[motor_idx]
-                self.msg.motor_cmd[motor_idx].tau = 0
-            self.msg.crc = self.crc.Crc(self.msg)
-            self.lowcmd_publisher.Write(self.msg)
-            time.sleep(self.control_dt)
-        logger.info("Reached default position (legs only)")
-
-    def get_gravity_orientation(self, quaternion):
         """Get gravity orientation from quaternion."""
         qw = quaternion[0]
         qx = quaternion[1]
@@ -388,7 +242,7 @@ class UnitreeG1(Robot):
         gravity_orientation[2] = 1 - 2 * (qw * qw + qz * qz)
         return gravity_orientation
 
-    def transform_imu_data(self, waist_yaw, waist_yaw_omega, imu_quat, imu_omega):
+    def transform_imu_data(self, waist_yaw, waist_yaw_omega, imu_quat, imu_omega):#transform imu data from torso to pelvis frame
         """Transform IMU data from torso to pelvis frame."""
         RzWaist = R.from_euler("z", waist_yaw).as_matrix()
         R_torso = R.from_quat([imu_quat[1], imu_quat[2], imu_quat[3], imu_quat[0]]).as_matrix()