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download policy from the hub in examples/unitree_g1/gr00t_locomotion

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This commit is contained in:
Michel Aractingi
2025-11-27 10:23:02 +01:00
parent 288cfc7f8e
commit 36ed02adfa
6 changed files with 164 additions and 82 deletions
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examples/unitree_g1/gr00t_locomotion.py
+50 -24
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@@ -7,6 +7,7 @@ This example demonstrates the NEW pattern for loading GR00T policies externally
and passing them to the robot class.
"""
import argparse
import logging
import threading
import time
@@ -15,6 +16,7 @@ from collections import deque
import numpy as np
import onnxruntime as ort
import torch
from huggingface_hub import hf_hub_download
from lerobot.robots.unitree_g1.config_unitree_g1 import UnitreeG1Config
from lerobot.robots.unitree_g1.unitree_g1 import UnitreeG1
@@ -72,15 +74,32 @@ DOF_VEL_SCALE: float = 0.05
CMD_SCALE: list = [2.0, 2.0, 0.25]
def load_groot_policies() -> tuple:
"""Load GR00T dual-policy system (Balance + Walk) from ONNX files."""
logger.info("Loading GR00T dual-policy system...")
DEFAULT_GROOT_REPO_ID = "nepyope/GR00T-WholeBodyControl_g1"
def load_groot_policies(
repo_id: str = DEFAULT_GROOT_REPO_ID,
) -> tuple[ort.InferenceSession, ort.InferenceSession]:
"""Load GR00T dual-policy system (Balance + Walk) from Hugging Face Hub.
Args:
repo_id: Hugging Face Hub repository ID containing the ONNX policies.
"""
logger.info(f"Loading GR00T dual-policy system from Hugging Face Hub ({repo_id})...")
# Download ONNX policies from Hugging Face Hub
balance_path = hf_hub_download(
repo_id=repo_id,
filename="GR00T-WholeBodyControl-Balance.onnx",
)
walk_path = hf_hub_download(
repo_id=repo_id,
filename="GR00T-WholeBodyControl-Walk.onnx",
)
# Load ONNX policies
policy_balance = ort.InferenceSession(
"examples/unitree_g1/locomotion/GR00T-WholeBodyControl-Balance.onnx"
)
policy_walk = ort.InferenceSession("examples/unitree_g1/locomotion/GR00T-WholeBodyControl-Walk.onnx")
policy_balance = ort.InferenceSession(balance_path)
policy_walk = ort.InferenceSession(walk_path)
logger.info("GR00T policies loaded successfully")
@@ -99,7 +118,6 @@ class GrootLocomotionController:
"""
def __init__(self, policy_balance, policy_walk, robot, config):
self.policy_balance = policy_balance
self.policy_walk = policy_walk
self.robot = robot
@@ -128,7 +146,6 @@ class GrootLocomotionController:
logger.info("GrootLocomotionController initialized")
def groot_locomotion_run(self):
# get current observation
robot_state = self.robot.get_observation()
@@ -150,15 +167,14 @@ class GrootLocomotionController:
self.robot.remote_controller.rx = 0.0
self.robot.remote_controller.ry = 0.0
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
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
# adapt observation for g1_23dof
for idx in MISSING_JOINTS:
self.groot_qj_all[idx] = 0.0
@@ -173,12 +189,11 @@ class GrootLocomotionController:
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
# 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
# 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
@@ -235,7 +250,7 @@ class GrootLocomotionController:
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
# send action to robot
self.robot.send_action(self.robot.msg)
def _locomotion_thread_loop(self):
@@ -298,7 +313,9 @@ class GrootLocomotionController:
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].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]
@@ -308,16 +325,25 @@ class GrootLocomotionController:
time.sleep(self.robot.control_dt)
logger.info("Reached default position (legs only)")
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="GR00T Locomotion Controller for Unitree G1")
parser.add_argument(
"--repo-id",
type=str,
default=DEFAULT_GROOT_REPO_ID,
help=f"Hugging Face Hub repo ID for GR00T policies (default: {DEFAULT_GROOT_REPO_ID})",
)
args = parser.parse_args()
#load policies
policy_balance, policy_walk = load_groot_policies()
# load policies
policy_balance, policy_walk = load_groot_policies(repo_id=args.repo_id)
#initialize robot
# initialize robot
config = UnitreeG1Config()
robot = UnitreeG1(config)
#initialize gr00t locomotion controller
# initialize gr00t locomotion controller
groot_controller = GrootLocomotionController(
policy_balance=policy_balance,
policy_walk=policy_walk,
@@ -325,16 +351,16 @@ if __name__ == "__main__":
config=config,
)
#reset legs and start locomotion thread
# reset legs and start locomotion thread
groot_controller.reset_robot()
groot_controller.start_locomotion_thread()
#log status
# log status
logger.info("Robot initialized with GR00T locomotion policies")
logger.info("Locomotion controller running in background thread")
logger.info("Press Ctrl+C to stop")
#keep robot alive
# keep robot alive
try:
while True:
time.sleep(1.0)
src/lerobot/robots/unitree_g1/config_unitree_g1.py
+79 -24
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@@ -15,9 +15,6 @@
# limitations under the License.
from dataclasses import dataclass, field
from typing import Any
from lerobot.cameras import CameraConfig
from ..config import RobotConfig
@@ -27,29 +24,87 @@ from ..config import RobotConfig
class UnitreeG1Config(RobotConfig):
# id: str = "unitree_g1"
kp: list = field(default_factory=lambda: [
150, 150, 150, 300, 40, 40, # Left leg pitch, roll, yaw, knee, ankle pitch, ankle roll
150, 150, 150, 300, 40, 40, # Right leg pitch, roll, yaw, knee, ankle pitch, ankle roll
250, 250, 250, # Waist yaw, roll, pitch
80, 80, 80, 80, # Left shoulder pitch, roll, yaw, elbow (kp_low)
40, 40, 40, # Left wrist roll, pitch, yaw (kp_wrist)
80, 80, 80, 80, # Right shoulder pitch, roll, yaw, elbow (kp_low)
40, 40, 40, # Right wrist roll, pitch, yaw (kp_wrist)
80, 80, 80, 80, 80, 80, # Other
])
kp: list = field(
default_factory=lambda: [
150,
150,
150,
300,
40,
40, # Left leg pitch, roll, yaw, knee, ankle pitch, ankle roll
150,
150,
150,
300,
40,
40, # Right leg pitch, roll, yaw, knee, ankle pitch, ankle roll
250,
250,
250, # Waist yaw, roll, pitch
80,
80,
80,
80, # Left shoulder pitch, roll, yaw, elbow (kp_low)
40,
40,
40, # Left wrist roll, pitch, yaw (kp_wrist)
80,
80,
80,
80, # Right shoulder pitch, roll, yaw, elbow (kp_low)
40,
40,
40, # Right wrist roll, pitch, yaw (kp_wrist)
80,
80,
80,
80,
80,
80, # Other
]
)
kd: list = field(default_factory=lambda: [
2, 2, 2, 4, 2, 2, # Left leg pitch, roll, yaw, knee, ankle pitch, ankle roll
2, 2, 2, 4, 2, 2, # Right leg pitch, roll, yaw, knee, ankle pitch, ankle roll
5, 5, 5, # Waist yaw, roll, pitch
3, 3, 3, 3, # Left shoulder pitch, roll, yaw, elbow (kd_low)
1.5, 1.5, 1.5, # Left wrist roll, pitch, yaw (kd_wrist)
3, 3, 3, 3, # Right shoulder pitch, roll, yaw, elbow (kd_low)
1.5, 1.5, 1.5, # Right wrist roll, pitch, yaw (kd_wrist)
3, 3, 3, 3, 3, 3, # Other
])
kd: list = field(
default_factory=lambda: [
2,
2,
2,
4,
2,
2, # Left leg pitch, roll, yaw, knee, ankle pitch, ankle roll
2,
2,
2,
4,
2,
2, # Right leg pitch, roll, yaw, knee, ankle pitch, ankle roll
5,
5,
5, # Waist yaw, roll, pitch
3,
3,
3,
3, # Left shoulder pitch, roll, yaw, elbow (kd_low)
1.5,
1.5,
1.5, # Left wrist roll, pitch, yaw (kd_wrist)
3,
3,
3,
3, # Right shoulder pitch, roll, yaw, elbow (kd_low)
1.5,
1.5,
1.5, # Right wrist roll, pitch, yaw (kd_wrist)
3,
3,
3,
3,
3,
3, # Other
]
)
control_dt = 1.0 / 250.0 # 250Hz
control_dt = 1.0 / 250.0 # 250Hz
# socket config for ZMQ bridge
robot_ip: str = "172.18.129.215"
src/lerobot/robots/unitree_g1/g1_utils.py
+2 -1
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@@ -1,5 +1,6 @@
from enum import IntEnum
class G1_29_JointArmIndex(IntEnum):
# Left arm
kLeftShoulderPitch = 15
@@ -19,8 +20,8 @@ class G1_29_JointArmIndex(IntEnum):
kRightWristPitch = 27
kRightWristYaw = 28
class G1_29_JointIndex(IntEnum):
class G1_29_JointIndex(IntEnum):
# Left leg
kLeftHipPitch = 0
kLeftHipRoll = 1
src/lerobot/robots/unitree_g1/robot_server.py
+6 -6
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@@ -9,14 +9,16 @@ from unitree_sdk2py.core.channel import ChannelFactoryInitialize, ChannelPublish
from unitree_sdk2py.idl.unitree_hg.msg.dds_ import LowCmd_ as hg_LowCmd, LowState_ as hg_LowState
from unitree_sdk2py.utils.crc import CRC
kTopicLowCommand_Debug = "rt/lowcmd" #action to robot
kTopicLowState = "rt/lowstate" #observation from robot
kTopicLowCommand_Debug = "rt/lowcmd" # action to robot
kTopicLowState = "rt/lowstate" # observation from robot
LOWCMD_PORT = 6000
LOWSTATE_PORT = 6001
def state_forward_loop(lowstate_sub, lowstate_sock, state_period: float):#read observation from DDS and send to server
def state_forward_loop(
lowstate_sub, lowstate_sock, state_period: float
): # read observation from DDS and send to server
last_state_time = 0.0
while True:
@@ -37,8 +39,7 @@ def state_forward_loop(lowstate_sub, lowstate_sock, state_period: float):#read o
last_state_time = now
def cmd_forward_loop(lowcmd_sock, lowcmd_pub_debug, crc: CRC):#send action to robot
def cmd_forward_loop(lowcmd_sock, lowcmd_pub_debug, crc: CRC): # send action to robot
while True:
payload = lowcmd_sock.recv()
topic, cmd = pickle.loads(payload)
@@ -52,7 +53,6 @@ def cmd_forward_loop(lowcmd_sock, lowcmd_pub_debug, crc: CRC):#send action to ro
pass
def main():
# initialize DDS
ChannelFactoryInitialize(0)
src/lerobot/robots/unitree_g1/unitree_g1.py
+12 -12
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@@ -14,7 +14,6 @@
# See the License for the specific language governing permissions and
# limitations under the License.
import json
import logging
import struct
import threading
@@ -52,11 +51,10 @@ H1_2_Num_Motors = 35
H1_Num_Motors = 20
class MotorState:
def __init__(self):
self.q = None # position
self.dq = None # velocity
self.q = None # position
self.dq = None # velocity
self.tau_est = None # estimated torque
self.temperature = None # motor temperature
@@ -69,7 +67,8 @@ class IMUState:
self.rpy = None # [roll, pitch, yaw] (rad)
self.temperature = None # IMU temperature
#g1 observation class
# g1 observation class
class G1_29_LowState:
def __init__(self):
self.motor_state = [MotorState() for _ in range(G1_29_Num_Motors)]
@@ -95,9 +94,8 @@ class UnitreeG1(Robot):
config_class = UnitreeG1Config
name = "unitree_g1"
#unitree remote controller
# unitree remote controller
class RemoteController:
def __init__(self):
self.lx = 0
self.ly = 0
@@ -165,7 +163,7 @@ class UnitreeG1(Robot):
# Initialize remote controller
self.remote_controller = self.RemoteController()
def _subscribe_motor_state(self): #polls robot state @ 250Hz
def _subscribe_motor_state(self): # polls robot state @ 250Hz
while True:
start_time = time.time()
msg = self.lowstate_subscriber.Read()
@@ -200,13 +198,13 @@ class UnitreeG1(Robot):
def action_features(self) -> dict[str, type]:
return {f"{G1_29_JointIndex(motor).name}.pos": float for motor in G1_29_JointIndex}
def calibrate(self) -> None:#robot is already calibrated
def calibrate(self) -> None: # robot is already calibrated
pass
def configure(self) -> None:
pass
def connect(self, calibrate: bool = True) -> None: #connect to DDS
def connect(self, calibrate: bool = True) -> None: # connect to DDS
ChannelFactoryInitialize(0)
def disconnect(self):
@@ -243,7 +241,7 @@ class UnitreeG1(Robot):
self.msg.crc = self.crc.Crc(action)
self.lowcmd_publisher.Write(action)
def get_gravity_orientation(self, quaternion):#get gravity orientation from quaternion
def get_gravity_orientation(self, quaternion): # get gravity orientation from quaternion
"""Get gravity orientation from quaternion."""
qw = quaternion[0]
qx = quaternion[1]
@@ -256,7 +254,9 @@ 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):#transform imu data from torso to pelvis frame
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()
src/lerobot/robots/unitree_g1/unitree_sdk2_socket.py
+6 -6
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@@ -1,4 +1,5 @@
import pickle
import zmq
from lerobot.robots.unitree_g1.config_unitree_g1 import UnitreeG1Config
@@ -11,9 +12,8 @@ LOWCMD_PORT = 6000
LOWSTATE_PORT = 6001
def ChannelFactoryInitialize(*args, **kwargs):#DDS to socket bridge
global _ctx, _lowcmd_sock, _lowstate_sock\
def ChannelFactoryInitialize(*args, **kwargs): # DDS to socket bridge
global _ctx, _lowcmd_sock, _lowstate_sock
# read socket config
config = UnitreeG1Config()
robot_ip = config.robot_ip
@@ -22,7 +22,7 @@ def ChannelFactoryInitialize(*args, **kwargs):#DDS to socket bridge
# lowcmd: robot action
_lowcmd_sock = _ctx.socket(zmq.PUSH)
_lowcmd_sock.setsockopt(zmq.CONFLATE, 1)#keep only last message
_lowcmd_sock.setsockopt(zmq.CONFLATE, 1) # keep only last message
_lowcmd_sock.connect(f"tcp://{robot_ip}:{LOWCMD_PORT}")
# lowstate: robot observation
@@ -32,7 +32,7 @@ def ChannelFactoryInitialize(*args, **kwargs):#DDS to socket bridge
_lowstate_sock.setsockopt_string(zmq.SUBSCRIBE, "")
class ChannelPublisher: #send action to robot
class ChannelPublisher: # send action to robot
def __init__(self, topic, msg_type):
self.topic = topic
self.msg_type = msg_type
@@ -44,7 +44,7 @@ class ChannelPublisher: #send action to robot
_lowcmd_sock.send(pickle.dumps((self.topic, msg)))
class ChannelSubscriber: #read observation from robot
class ChannelSubscriber: # read observation from robot
def __init__(self, topic, msg_type):
self.topic = topic
self.msg_type = msg_type