Files
lerobot/src/lerobot/robots/unitree_g1/unitree_g1.py
T
Caroline Pascal 3dd19d043e feat(depth maps): adding support for depth in LeRobot (#3644)
* feat(depth): add depth quantization helpers and tests

* feat(video): add ffv1 to supported codecs

* feat(depth): persist depth metadata

* feat(depth): extend quantization tools to better fit the encoding/decoding pipeline

* feat(depth): plumb DepthEncoderConfig through LeRobotDataset and DatasetWriter

* feat(depth): wire StreamingVideoEncoder + writer to depth encoder

* feat(depth): wire DatasetReader to decode_depth_frames

* feat(cameras/realsense): expose async depth in metric meters

* feat(features): route 2D camera shapes to observation.depth.<key>

* feat(robots/so_follower): emit + populate depth keys when use_depth

* feat(record): plumb DepthEncoderConfig through lerobot-record

* feat(viz): render depth observations as rr.DepthImage in Viridis

* feat(depth maps writer): adding support for raw depth maps recording with image writer

* chore(format): format code

* feat(depth shape): ensuring depth maps shape is always including the channel

* feat(is_depth): simplifying is_depth nested name + legacy support

* fix(stop_event): fixing stop_event race condition in camera classes

* fix(plumbing): fixing missing parts in the depth maps pipeline

* chore(typos): fixing typos

* test(fix): fixing exisiting tests to still work with latest features

* tests(depth): adding new tests for depth integration validation

* feat(pix_fmt channels): use PyAv to check get pixel formats number of channels

* feat(refactor): refactor DepthEncoderConfig quantization pipeline, so that the methods do not live in the config class. Add pixel format - channels validation.Move the default pixel format for depth in the config file.

* fix(pre-commit): fixing mutable defautl value

* fix(info): fixing info metadata update when is_depth_map was set

* tests(typos): fixing typos in tests

* fix(realsense): fixing typo in realsense serial number

* fix(normalization): restricting 255 normalization to non depth/uint8 images only

* fix(typo): fixing typo

* fix(TIFF): add missing quantization and cleanup for TIFF files

* feat(batched dequantization): optimizing dequantize_depth for torch based batched dequantization

* feat(tools): adding depth support in LeRobotDataset edition tools

* test(aggregate): extending aggregation tests to depth frames

* test(cleaning): cleaning up tests

* fix(from_video_info): fixing early validation issue in from_video_info

* fix(typo): fixing typo

* fix(is_depth): adding missing doctrings and is_depth arguments in video decoding functions

Co-authored-by: Wensi (Vince) Ai <59036629+wensi-ai@users.noreply.github.com>

* fix(depth units): fixing depth units output for the realsense cameras

* feat(output unit): adding support for output unit specification at dataset reading/training time

Co-authored-by: Wensi (Vince) Ai <59036629+wensi-ai@users.noreply.github.com>

* test(depth): cleaning up depth tests

* test(depth encoding): updating and cleaning video/depth encoding tests

* chore(format): formatting code

* docs(depth): improving depth maps docs

* test(fix): fixing depth tests

* test(dataset tools): adding missing tests for new dataset edition tools features

* chore(format): formatting code

* fix(pyav check): fixing PyAV option validation for integer codec options by normalizing
numeric values before calling `is_integer()`

Co-authored-by: Wensi (Vince) Ai <59036629+wensi-ai@users.noreply.github.com>

* docs(mermaid): fixing mermaid diagram

* fix(rebase): rebase follow up corrections

* feat(dataset tools): adding missing docstrings and features for depth fill support in dataset edition tools

* docs(docstring): updating docstrings

* docs(dataset tools): updating docs

* fix(save images): fixing image saving in dataset tools

* fix(update video info): fixing update video info logic to match the recording and editing use cases

* test(reencode): fixing reencoding monkeypatch

* fix(review): add Claude review

* chore(format): format code

* fix(update video info): ditching the differentiated approahces for video info update - video info are always updated unless for preserved keys.

* chore(rebase): fixing rebase merge conflicts

* test(visualization): fixing visualization tests

* feat(docstrings): adding explicit docstring for encoding parameters. Docstrigns will now show up as description in the CLI --help.

* feat(mm as default): adding a global DEFAULT_DEPTH_UNIT variable setting mm as default depth unit

* fix(RGB <-> camera): renaming camera_encoder to rgb_encoder for clarity

* chore(TODO): removing deprecated TODO

* doc(write_u16_plane): improving docstrings for write_u16_plane

* feat(units): adding constants for depth frames units (m and mm)

* fix(spam): replacing spamming warning but a debug log

* feat(leagcy metadata): adding automatic metadata update for legacy 'video.is_depth_map' feature

* fix(copy&reindex): fixing metadat reshaping for single channel frames

* fix(ImageNet): excluding dpeth frames from ImageNet stats

* fix(PyAV container seek): fixing initial  PyAV container seek to be robust againsy codec choice

* feat(lerobot-dataset-viz): adding support for depth in lerobot-dataset-viz

* fix(compress): removing rerun compression for DepthImages

* fix(signle channel squeeze): fixing single channel squeezing

* chore(format): format code

* fix(streaming): adding support for dequantization in streaming_dataset.py

* refactor(read depth): factorizing depth reading methods for realsense camera and adding support for depth-only usage

* chore(renaming): fixing missed RGBEncoderConfig renamings

* docs(renaming): reflecting renamings in a clearer way in the docs

* chore(annotation): excluding depth from the annotation pipeline

* feat(robots): adding depth support in compatible follower robots

* feat(LeSadKiwi): excluding LeKiwi from depth support (for now)

* chore(fail): removing misplaced file

* chore(fail): removing misplaced file

* fix(remove ffv1): removing ffv1 as it does not support MP4

* docs(cheat sheet): adding depth and video encoding to the cheat sheet

* fix(lossless): tuning depth encoding parameters for lossless depth storage

* test(fix): fixing failing tests

* depth(ZMQ): excluding ZMQ from depth support

* Revert "depth(ZMQ): excluding ZMQ from depth support"

This reverts commit b95cf4e4c2.

* fix(image transforms): excluding depth frames from images transforms

* fix(typo): typo

* fix(stats): fixing stats computation for depth frames

* fix(TIFF vs. pytorch): adding an extra uint16 to float32 conversion for depth maps stored as raw TIFF images

* fix(typos): fixing typos

* test(dtype): fixing stats computation typing tests

---------

Signed-off-by: Steven Palma <imstevenpmwork@ieee.org>
Co-authored-by: Wensi (Vince) Ai <59036629+wensi-ai@users.noreply.github.com>
Co-authored-by: Steven Palma <imstevenpmwork@ieee.org>
Co-authored-by: Wensi Ai <wsai@stanford.edu>
2026-06-27 14:21:21 +02:00

580 lines
22 KiB
Python

#!/usr/bin/env python
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from __future__ import annotations
import logging
import threading
import time
from dataclasses import dataclass, field
from functools import cached_property
from typing import TYPE_CHECKING, Protocol, runtime_checkable
import numpy as np
from lerobot.cameras import make_cameras_from_configs
from lerobot.types import RobotAction, RobotObservation
from lerobot.utils.import_utils import _unitree_sdk_available, require_package
from ..robot import Robot
from .config_unitree_g1 import UnitreeG1Config
from .g1_kinematics import G1_29_ArmIK
from .g1_utils import (
REMOTE_AXES,
REMOTE_KEYS,
G1_29_JointArmIndex,
G1_29_JointIndex,
default_remote_input,
make_locomotion_controller,
)
if TYPE_CHECKING or _unitree_sdk_available:
from unitree_sdk2py.core.channel import (
ChannelFactoryInitialize as _SDKChannelFactoryInitialize,
ChannelPublisher as _SDKChannelPublisher,
ChannelSubscriber as _SDKChannelSubscriber,
)
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,
)
from unitree_sdk2py.utils.crc import CRC
else:
_SDKChannelFactoryInitialize = None
_SDKChannelPublisher = None
_SDKChannelSubscriber = None
unitree_hg_msg_dds__LowCmd_ = None
hg_LowCmd = None
hg_LowState = None
CRC = None
logger = logging.getLogger(__name__)
@runtime_checkable
class LocomotionController(Protocol):
control_dt: float
def run_step(self, action: dict, lowstate) -> dict: ...
def reset(self) -> None: ...
# DDS topic names follow Unitree SDK naming conventions
# ruff: noqa: N816
kTopicLowCommand_Debug = "rt/lowcmd"
kTopicLowState = "rt/lowstate"
@dataclass
class MotorState:
q: float | None = None # position
dq: float | None = None # velocity
tau_est: float | None = None # estimated torque
temperature: float | None = None # motor temperature
@dataclass
class IMUState:
quaternion: np.ndarray | None = None # [w, x, y, z]
gyroscope: np.ndarray | None = None # [x, y, z] angular velocity (rad/s)
accelerometer: np.ndarray | None = None # [x, y, z] linear acceleration (m/s²)
rpy: np.ndarray | None = None # [roll, pitch, yaw] (rad)
temperature: float | None = None # IMU temperature
# g1 observation class
@dataclass
class G1_29_LowState: # noqa: N801
motor_state: list[MotorState] = field(default_factory=lambda: [MotorState() for _ in G1_29_JointIndex])
imu_state: IMUState = field(default_factory=IMUState)
wireless_remote: bytes | None = None # Raw wireless remote data
mode_machine: int = 0 # Robot mode
class UnitreeG1(Robot):
config_class = UnitreeG1Config
name = "unitree_g1"
def __init__(self, config: UnitreeG1Config):
require_package("unitree-sdk2py", extra="unitree_g1", import_name="unitree_sdk2py")
super().__init__(config)
logger.info("Initialize UnitreeG1...")
self.config = config
self.control_dt = config.control_dt
# Initialize cameras config (ZMQ-based) - actual connection in connect()
self._cameras = make_cameras_from_configs(config.cameras)
# Import channel classes based on mode
if config.is_simulation:
self._ChannelFactoryInitialize = _SDKChannelFactoryInitialize
self._ChannelPublisher = _SDKChannelPublisher
self._ChannelSubscriber = _SDKChannelSubscriber
else:
from .unitree_sdk2_socket import (
ChannelFactoryInitialize,
ChannelPublisher,
ChannelSubscriber,
)
self._ChannelFactoryInitialize = ChannelFactoryInitialize
self._ChannelPublisher = ChannelPublisher
self._ChannelSubscriber = ChannelSubscriber
# Initialize state variables
self.sim_env = None
self._env_wrapper = None
self._lowstate = None
self._lowstate_lock = threading.Lock()
self._shutdown_event = threading.Event()
self.subscribe_thread = None
self.arm_ik = G1_29_ArmIK() if config.gravity_compensation else None
# Lower-body controller loaded dynamically
self.controller: LocomotionController | None = make_locomotion_controller(config.controller)
# Controller thread state
self._controller_thread = None
self._controller_action_lock = threading.Lock()
self.controller_input = default_remote_input()
self.controller_output = {}
def _subscribe_lowstate(self): # polls robot state @ 250Hz
while not self._shutdown_event.is_set():
start_time = time.time()
# Step simulation if in simulation mode
if self.config.is_simulation and self.sim_env is not None:
self.sim_env.step()
msg = self.lowstate_subscriber.Read()
if msg is not None:
lowstate = G1_29_LowState()
# Capture motor states using jointindex
for joint in G1_29_JointIndex:
lowstate.motor_state[joint].q = msg.motor_state[joint].q
lowstate.motor_state[joint].dq = msg.motor_state[joint].dq
lowstate.motor_state[joint].tau_est = msg.motor_state[joint].tau_est
lowstate.motor_state[joint].temperature = msg.motor_state[joint].temperature
# Capture IMU state
lowstate.imu_state.quaternion = list(msg.imu_state.quaternion)
lowstate.imu_state.gyroscope = list(msg.imu_state.gyroscope)
lowstate.imu_state.accelerometer = list(msg.imu_state.accelerometer)
lowstate.imu_state.rpy = list(msg.imu_state.rpy)
lowstate.imu_state.temperature = msg.imu_state.temperature
# Capture wireless remote data
lowstate.wireless_remote = msg.wireless_remote
# Capture mode_machine
lowstate.mode_machine = msg.mode_machine
with self._lowstate_lock:
self._lowstate = lowstate
current_time = time.time()
all_t_elapsed = current_time - start_time
sleep_time = max(0, (self.control_dt - all_t_elapsed)) # maintain constant control dt
time.sleep(sleep_time)
def publish_lowcmd(
self,
action: RobotAction,
kp: np.ndarray | list[float] | None = None,
kd: np.ndarray | list[float] | None = None,
tau: np.ndarray | list[float] | None = None,
) -> None: # writes robot command whenever requested
for motor in G1_29_JointIndex:
key = f"{motor.name}.q"
if key in action:
self.msg.motor_cmd[motor.value].q = action[key]
self.msg.motor_cmd[motor.value].qd = 0
self.msg.motor_cmd[motor.value].kp = (
kp[motor.value] if kp is not None else self.kp[motor.value]
)
self.msg.motor_cmd[motor.value].kd = (
kd[motor.value] if kd is not None else self.kd[motor.value]
)
self.msg.motor_cmd[motor.value].tau = tau[motor.value] if tau is not None else 0.0
self.msg.crc = self.crc.Crc(self.msg)
self.lowcmd_publisher.Write(self.msg)
@property
def _cameras_ft(self) -> dict[str, tuple]:
features: dict[str, tuple] = {}
for cam in self.cameras:
cfg = self.config.cameras[cam]
if getattr(cfg, "use_rgb", True):
features[cam] = (cfg.height, cfg.width, 3)
if getattr(cfg, "use_depth", False):
features[f"{cam}_depth"] = (cfg.height, cfg.width, 1)
return features
@cached_property
def observation_features(self) -> dict[str, type | tuple]:
return {**self._motors_ft, **self._cameras_ft}
@cached_property
def action_features(self) -> dict[str, type]:
if self.controller is None:
return {f"{G1_29_JointIndex(motor).name}.q": float for motor in G1_29_JointIndex}
arm_features = {f"{G1_29_JointArmIndex(motor).name}.q": float for motor in G1_29_JointArmIndex}
remote_features = dict.fromkeys(REMOTE_AXES, float)
return {**arm_features, **remote_features}
def _controller_loop(self):
"""Background thread that runs controller at policy's control_dt."""
control_dt = self.controller.control_dt
logger.info(f"Controller loop starting with control_dt={control_dt} ({1.0 / control_dt:.1f}Hz)")
loop_count = 0
last_log_time = time.time()
while not self._shutdown_event.is_set():
start_time = time.time()
with self._lowstate_lock:
lowstate = self._lowstate
if lowstate is not None and self.controller is not None:
loop_count += 1
if time.time() - last_log_time >= 5.0: # Log every 5 seconds
actual_hz = loop_count / (time.time() - last_log_time)
logger.info(
f"Controller actual rate: {actual_hz:.1f}Hz (target: {1.0 / control_dt:.1f}Hz)"
)
loop_count = 0
last_log_time = time.time()
# Read controller input snapshot
with self._controller_action_lock:
controller_input = dict(self.controller_input)
# Run controller step
controller_action = self.controller.run_step(controller_input, lowstate)
# Write controller output snapshot
with self._controller_action_lock:
self.controller_output = dict(controller_action)
ctrl_kp = self.controller.kp if hasattr(self.controller, "kp") else None
ctrl_kd = self.controller.kd if hasattr(self.controller, "kd") else None
self.publish_lowcmd(controller_action, kp=ctrl_kp, kd=ctrl_kd)
elapsed = time.time() - start_time
sleep_time = max(0, control_dt - elapsed)
time.sleep(sleep_time)
def calibrate(self) -> None:
# TODO: implement g1_29 calibration
pass
def configure(self) -> None:
pass
def connect(self, calibrate: bool = True) -> None: # connect to DDS
# Initialize DDS channel and simulation environment
if self.config.is_simulation:
from lerobot.envs import make_env
self._ChannelFactoryInitialize(0, "lo")
self._env_wrapper = make_env("lerobot/unitree-g1-mujoco", trust_remote_code=True)
# Extract the actual gym env from the dict structure
self.sim_env = self._env_wrapper["hub_env"][0].envs[0]
else:
self._ChannelFactoryInitialize(0, config=self.config)
# Initialize direct motor control interface
self.lowcmd_publisher = self._ChannelPublisher(kTopicLowCommand_Debug, hg_LowCmd)
self.lowcmd_publisher.Init()
self.lowstate_subscriber = self._ChannelSubscriber(kTopicLowState, hg_LowState)
self.lowstate_subscriber.Init()
# Start subscribe thread to read robot state
self.subscribe_thread = threading.Thread(target=self._subscribe_lowstate)
self.subscribe_thread.start()
# Connect cameras
for cam in self._cameras.values():
if not cam.is_connected:
cam.connect()
logger.info(f"Connected {len(self._cameras)} camera(s).")
# Initialize lowcmd message
self.crc = CRC()
self.msg = unitree_hg_msg_dds__LowCmd_()
self.msg.mode_pr = 0
# Wait for first state message to arrive
lowstate = None
deadline = time.time() + 10.0
while lowstate is None:
with self._lowstate_lock:
lowstate = self._lowstate
if lowstate is None:
if time.time() > deadline:
raise TimeoutError("Timed out waiting for robot state (10s)")
logger.warning("[UnitreeG1] Waiting for robot state...")
time.sleep(0.01)
logger.info("[UnitreeG1] Connected to robot.")
self.msg.mode_machine = lowstate.mode_machine
self.kp = np.array(self.config.kp, dtype=np.float32)
self.kd = np.array(self.config.kd, dtype=np.float32)
for joint in G1_29_JointIndex:
self.msg.motor_cmd[joint].mode = 1
self.msg.motor_cmd[joint].kp = self.kp[joint.value]
self.msg.motor_cmd[joint].kd = self.kd[joint.value]
self.msg.motor_cmd[joint].q = lowstate.motor_state[joint.value].q
# Start controller thread if enabled
if self.controller is not None:
self._controller_thread = threading.Thread(target=self._controller_loop, daemon=True)
self._controller_thread.start()
fps = int(1.0 / self.controller.control_dt)
logger.info(f"Controller thread started ({fps}Hz)")
def _send_zero_torque(self) -> None:
"""Send a zero-gain command to make joints passive before shutting down."""
try:
with self._lowstate_lock:
lowstate = self._lowstate
if lowstate is None:
return
action = {f"{motor.name}.q": lowstate.motor_state[motor.value].q for motor in G1_29_JointIndex}
zero_gains = np.zeros(29, dtype=np.float32)
self.publish_lowcmd(action, kp=zero_gains, kd=zero_gains, tau=zero_gains)
logger.info("Sent zero-torque command for safe shutdown")
except Exception as e:
logger.warning(f"Failed to send zero-torque on disconnect: {e}")
def disconnect(self):
# Put robot in passive mode before stopping threads
if not self.config.is_simulation:
self._send_zero_torque()
# Signal thread to stop and unblock any waits
self._shutdown_event.set()
# Wait for subscribe thread to finish
if self.subscribe_thread is not None:
self.subscribe_thread.join(timeout=2.0)
if self.subscribe_thread.is_alive():
logger.warning("Subscribe thread did not stop cleanly")
# Wait for controller thread to finish
if self._controller_thread is not None:
self._controller_thread.join(timeout=2.0)
if self._controller_thread.is_alive():
logger.warning("Controller thread did not stop cleanly")
# Close simulation environment
if self.config.is_simulation and self.sim_env is not None:
try:
# Force-kill the image publish subprocess first to avoid long waits
if hasattr(self.sim_env, "simulator") and hasattr(self.sim_env.simulator, "sim_env"):
sim_env_inner = self.sim_env.simulator.sim_env
if hasattr(sim_env_inner, "image_publish_process"):
proc = sim_env_inner.image_publish_process
if proc.process and proc.process.is_alive():
logger.info("Force-terminating image publish subprocess...")
proc.stop_event.set()
proc.process.terminate()
proc.process.join(timeout=1)
if proc.process.is_alive():
proc.process.kill()
self.sim_env.close()
except Exception as e:
logger.warning(f"Error closing sim_env: {e}")
self.sim_env = None
self._env_wrapper = None
# Disconnect cameras
for cam in self._cameras.values():
cam.disconnect()
def get_observation(self) -> RobotObservation:
with self._lowstate_lock:
lowstate = self._lowstate
if lowstate is None:
return {}
obs = {}
# Motors - q, dq, tau for all joints
for motor in G1_29_JointIndex:
name = motor.name
idx = motor.value
obs[f"{name}.q"] = lowstate.motor_state[idx].q
obs[f"{name}.dq"] = lowstate.motor_state[idx].dq
obs[f"{name}.tau"] = lowstate.motor_state[idx].tau_est
# IMU - gyroscope
if lowstate.imu_state.gyroscope:
obs["imu.gyro.x"] = lowstate.imu_state.gyroscope[0]
obs["imu.gyro.y"] = lowstate.imu_state.gyroscope[1]
obs["imu.gyro.z"] = lowstate.imu_state.gyroscope[2]
# IMU - accelerometer
if lowstate.imu_state.accelerometer:
obs["imu.accel.x"] = lowstate.imu_state.accelerometer[0]
obs["imu.accel.y"] = lowstate.imu_state.accelerometer[1]
obs["imu.accel.z"] = lowstate.imu_state.accelerometer[2]
# IMU - quaternion
if lowstate.imu_state.quaternion:
obs["imu.quat.w"] = lowstate.imu_state.quaternion[0]
obs["imu.quat.x"] = lowstate.imu_state.quaternion[1]
obs["imu.quat.y"] = lowstate.imu_state.quaternion[2]
obs["imu.quat.z"] = lowstate.imu_state.quaternion[3]
# IMU - rpy
if lowstate.imu_state.rpy:
obs["imu.rpy.roll"] = lowstate.imu_state.rpy[0]
obs["imu.rpy.pitch"] = lowstate.imu_state.rpy[1]
obs["imu.rpy.yaw"] = lowstate.imu_state.rpy[2]
# Wireless remote (raw bytes for teleoperator)
if lowstate.wireless_remote:
obs["wireless_remote"] = lowstate.wireless_remote
# Cameras - read images from ZMQ cameras
for cam_name, cam in self._cameras.items():
if getattr(cam, "use_rgb", True):
obs[cam_name] = cam.read_latest()
if getattr(cam, "use_depth", False):
obs[f"{cam_name}_depth"] = cam.read_latest_depth()
return obs
def send_action(self, action: RobotAction) -> RobotAction:
action_to_publish = action
if self.controller is not None:
# Controller thread owns legs/waist. Here we only update joystick inputs
# and publish arm targets from the teleoperator.
self._update_controller_action(action)
arm_prefixes = tuple(j.name for j in G1_29_JointArmIndex)
action_to_publish = {
key: value
for key, value in action.items()
if key.endswith(".q") and key.startswith(arm_prefixes)
}
tau = None
if self.config.gravity_compensation and self.arm_ik is not None:
tau = np.zeros(29, dtype=np.float32)
action_np = np.array(
[
action_to_publish.get(f"{joint.name}.q", self.msg.motor_cmd[joint.value].q)
for joint in G1_29_JointArmIndex
],
dtype=np.float32,
)
arm_tau = self.arm_ik.solve_tau(action_np)
arm_start_idx = G1_29_JointArmIndex.kLeftShoulderPitch.value
for joint in G1_29_JointArmIndex:
local_idx = joint.value - arm_start_idx
tau[joint.value] = arm_tau[local_idx]
self.publish_lowcmd(action_to_publish, tau=tau)
return action
def _update_controller_action(self, action: RobotAction) -> None:
"""Update controller input state from incoming teleop action."""
with self._controller_action_lock:
for key in REMOTE_KEYS:
if key in action:
self.controller_input[key] = action[key]
@property
def is_calibrated(self) -> bool:
return True
@property
def is_connected(self) -> bool:
with self._lowstate_lock:
return self._lowstate is not None
@property
def _motors_ft(self) -> dict[str, type]:
"""Joint positions for all 29 joints."""
return {f"{G1_29_JointIndex(motor).name}.q": float for motor in G1_29_JointIndex}
@property
def cameras(self) -> dict:
return self._cameras
def reset(
self,
control_dt: float | None = None,
default_positions: list[float] | None = None,
) -> None: # move robot to default position
if control_dt is None:
control_dt = self.config.control_dt
if default_positions is None:
default_positions = np.array(self.config.default_positions, dtype=np.float32)
if self.config.is_simulation and self.sim_env is not None:
self.sim_env.reset()
self.publish_lowcmd(
{f"{motor.name}.q": float(default_positions[motor.value]) for motor in G1_29_JointIndex}
)
else:
total_time = 3.0
num_steps = int(total_time / control_dt)
# get current state
obs = self.get_observation()
# record current positions
init_dof_pos = np.zeros(29, dtype=np.float32)
for motor in G1_29_JointIndex:
init_dof_pos[motor.value] = obs[f"{motor.name}.q"]
# Interpolate to default position
for step in range(num_steps):
start_time = time.time()
alpha = step / num_steps
action_dict = {}
for motor in G1_29_JointIndex:
target_pos = default_positions[motor.value]
interp_pos = init_dof_pos[motor.value] * (1 - alpha) + target_pos * alpha
action_dict[f"{motor.name}.q"] = float(interp_pos)
self.send_action(action_dict)
# Maintain constant control rate
elapsed = time.time() - start_time
sleep_time = max(0, control_dt - elapsed)
time.sleep(sleep_time)
# Reset controller internal state (gait phase, obs history, etc.)
if self.controller is not None and hasattr(self.controller, "reset"):
self.controller.reset()
logger.info("Reached default position")