test 3-point teleop

Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
Martino Russi
2026-07-15 18:16:46 +02:00
parent f6a845c30c
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# Unitree G1 — SONIC whole-body control
This package runs NVIDIA's **SONIC** whole-body controller (and the GR00T/Holosoma
locomotion controllers) on the Unitree G1, in MuJoCo simulation or on real hardware.
SONIC turns a high-level movement intent — or a streamed **SMPL** whole-body pose — into
50 Hz joint-position targets. It is a pure-Python/ONNX reimplementation of the SONIC
deploy stack (no `gear_sonic`/torch dependency).
## Controllers
Selected with `--robot.controller=<ClassName>`:
| Controller | Purpose |
|---|---|
| `SonicWholeBodyController` | SONIC whole-body: locomotion, keyboard, and SMPL imitation (mode 2) |
| `GrootLocomotionController` | GR00T locomotion policy |
| `HolosomaLocomotionController` | Holosoma locomotion policy |
## Requirements
- `onnxruntime` (CPU) **or** `onnxruntime-gpu` (recommended — SONIC runs three ONNX
sessions and is much smoother on GPU). Install the CUDA build that matches your
driver (e.g. `onnxruntime-gpu==1.26.0` for a CUDA-12.x driver). Verify with:
```bash
python -c "import onnxruntime as ort; print(ort.get_available_providers())"
# expect CUDAExecutionProvider in the list for GPU
```
- `mujoco` for simulation (`is_simulation=True`).
- `pyzmq` only if you use the live SMPL stream (pico headset).
- The SONIC ONNX models are downloaded automatically from the `nvidia/GEAR-SONIC` Hub repo.
## Running
**Replay an SMPL dataset (motion imitation):**
```bash
lerobot-replay \
--robot.type=unitree_g1 --robot.controller=SonicWholeBodyController \
--dataset.repo_id=<user>/<smpl_dataset> --dataset.episode=0
```
**Keyboard teleop** (drives locomotion via the native keyboard teleoperator):
```bash
lerobot-teleoperate \
--robot.type=unitree_g1 --robot.controller=SonicWholeBodyController \
--teleop.type=keyboard
```
Controls: `WASD` move · `Q`/`E` turn · `1``8` mode · `9`/`0` speed · `-`/`=` height ·
`R` replan · `Space` emergency-stop.
**PICO headset teleop** (live SMPL whole-body):
```bash
lerobot-teleoperate \
--robot.type=unitree_g1 --robot.controller=SonicWholeBodyController \
--teleop.type=pico_headset
```
This requires the XRoboToolkit stack — see below.
## PICO headset / XRoboToolkit install
Live full-body teleop needs the **XRoboToolkit** system (a PC Service on your
workstation + a PICO app on the headset) and its Python binding, `xrobotoolkit_sdk`.
The full hardware + software walkthrough lives in the SONIC repo:
[`docs/source/getting_started/vr_teleop_setup.md`](https://nvlabs.github.io/GR00T-WholeBodyControl/getting_started/vr_teleop_setup.html).
Summary:
1. **PC Service** (workstation) — install and run it before connecting the headset.
- Ubuntu 22.04 / 24.04 (x86_64): prebuilt `.deb` from the
[XRoboToolkit-PC-Service releases](https://github.com/XR-Robotics/XRoboToolkit-PC-Service/releases).
- Jetson (aarch64): the arm64 `.deb`.
- Windows (x64): the Windows PC Service build.
2. **PICO app** — install `XRoboToolkit-PICO-*.apk` on the headset (see the guide),
enable Developer Mode, pair/calibrate the ankle motion trackers.
3. **`xrobotoolkit_sdk`** — a pybind11/CMake build (not a pip package), from
[`XRoboToolkit-PC-Service-Pybind`](https://github.com/XR-Robotics/XRoboToolkit-PC-Service-Pybind):
- Linux x86_64: `pip install pybind11 cmake` then `bash setup_ubuntu.sh` (or the
SONIC repo's `install_scripts/install_pico.sh`, which builds everything into a
`.venv_teleop`).
- Jetson aarch64: `bash setup_orin.sh` (builds `libPXREARobotSDK.so` from source).
- Windows x64: `pip install pybind11` then `setup_windows.bat` (needs git + an
MSVC/CMake toolchain; uses the prebuilt `PXREARobotSDK.dll`/`.lib`).
4. Connect PICO and workstation to the **same Wi-Fi**, open the XRoboToolkit app, enter
the PC IP, and enable Head/Controller/Full-body/Send.
### Platform support
| Platform | Live headset teleop | Notes |
|---|---|---|
| Linux x86_64 | ✅ | Guided `install_pico.sh` (SONIC repo) |
| Linux aarch64 (Jetson Orin) | ✅ | `setup_orin.sh` builds the native lib |
| Windows x64 | ✅ (manual) | `setup_windows.bat`; no one-shot env script |
| macOS | ❌ | No PC Service / SDK build for Darwin |
### No hardware required (any platform, incl. macOS/Windows)
The SMPL pipeline can be exercised without a headset or the SDK — the publisher emits
`rt/smpl` frames that the controller consumes exactly as it would from the headset:
```bash
# synthetic motion
python -m lerobot.teleoperators.pico_headset.pico_publisher --fake
# replay a canned SMPL clip
python -m lerobot.teleoperators.pico_headset.pico_publisher --motion-file <clip>.npz
```
## Notes
- SMPL **root motion** into the mode-2 anchor is opt-in (`SonicWholeBodyController(enable_smpl_root=True)`);
it is off by default because an unsmoothed 30 Hz→50 Hz root trajectory can spike the
base acceleration.
- Direct `rt/smpl` subscription without the pico teleoperator is available via
`SonicWholeBodyController(enable_smpl_stream=True, smpl_host=..., smpl_port=...)`.
@@ -1153,6 +1153,22 @@ class PlannerController(StandingEncoderDecoder):
obs[1642 + 6 * f : 1642 + 6 * (f + 1)] = anchor
obs[1702 + 6 * f : 1702 + 6 * (f + 1)] = wrist
return obs
if self.encode_mode == 1:
# 3-point VR teleop: the upper body tracks the VR wrist/neck targets
# while the planner reference supplies the lower body + anchor. Lower
# body is per-frame (step 5) like mode 0; the VR targets are current.
rf = min(self.ref_cursor, self.motion_timesteps - 1)
obs[595:601] = self._anchor_6d(self.h_quat[0], self.motion_body_quats[rf].astype(np.float32))
for f in range(10):
tf = min(
self.ref_cursor + f * 5 if self.playing else self.ref_cursor,
self.motion_timesteps - 1,
)
ref_lower = self.motion_joint_positions[tf].astype(np.float32)[LOWER_BODY_IL]
obs[661 + 12 * f : 661 + 12 * (f + 1)] = ref_lower
obs[901:910] = self.vr_3point_local_target
obs[910:922] = self.vr_3point_local_orn_target
return obs
for f in range(10):
tf = min(
self.ref_cursor + f * 5 if self.playing else self.ref_cursor, self.motion_timesteps - 1
@@ -30,6 +30,10 @@ from lerobot.teleoperators.pico_headset.smpl_constants import (
ROOT_ACTION_PREFIX,
SMPL_ACTION_PREFIX,
SMPL_OBS_DIM as SMPL_ACTION_DIM,
VR3_ORN_DIM,
VR3_ORN_PREFIX,
VR3_POS_DIM,
VR3_POS_PREFIX,
)
from lerobot.utils.import_utils import _onnxruntime_available, require_package
@@ -96,6 +100,28 @@ def _extract_root_from_action(action: dict | None) -> np.ndarray | None:
return q / n
def _extract_vr3_from_action(action: dict | None) -> tuple[np.ndarray, np.ndarray] | None:
"""Reassemble the 3-point VR targets from ``vr3_pos.{i}`` / ``vr3_orn.{i}`` keys.
Returns ``(pos (9,), orn (12,))`` for the [l-wrist, r-wrist, neck] keypoints, or
None when no VR3 reference was sent this tick. Presence of ``vr3_pos.0`` is the
sentinel that a full 3-point frame is available (mirrors the SMPL sentinel).
"""
if not action or f"{VR3_POS_PREFIX}0" not in action:
return None
pos = np.fromiter(
(float(action.get(f"{VR3_POS_PREFIX}{i}", 0.0)) for i in range(VR3_POS_DIM)),
dtype=np.float32,
count=VR3_POS_DIM,
)
orn = np.fromiter(
(float(action.get(f"{VR3_ORN_PREFIX}{i}", 0.0)) for i in range(VR3_ORN_DIM)),
dtype=np.float32,
count=VR3_ORN_DIM,
)
return pos, orn
class SonicRuntime:
"""Shared SONIC control loop state (standalone demo + locomotion controller)."""
@@ -240,8 +266,20 @@ class SonicWholeBodyController:
self.controller.reinit_heading = True
logger.info("SONIC: SMPL stream active -> whole-body tracking (mode 2)")
def _enter_3point(self) -> None:
"""Switch into 3-point VR upper-body teleop (encode_mode 1).
The upper body tracks the VR wrist/neck targets while the lower body /
locomotion keeps running off the planner (joystick/keyboard-driven).
"""
self.controller.encode_mode = 1
self.controller.playing = True
self.controller.reinit_heading = True
self.ms.needs_replan = True
logger.info("SONIC: 3-point VR active -> upper-body tracking + planner locomotion (mode 1)")
def _exit_wholebody(self) -> None:
"""Revert to locomotion/standing (encode_mode 0) after SMPL is lost.
"""Revert to locomotion/standing (encode_mode 0) after a teleop reference is lost.
Mirrors the 'M' toggle in sonic.py so the handoff is clean: the robot holds
a standing reference and (if a joystick teleop is attached) can be driven.
@@ -250,7 +288,7 @@ class SonicWholeBodyController:
self.controller.playing = True
self.controller.reinit_heading = True
self.ms.needs_replan = True
logger.warning("SONIC: SMPL stream lost/stale -> reverting to locomotion (standing)")
logger.warning("SONIC: teleop reference lost/stale -> reverting to locomotion (standing)")
def _process_keyboard(self, action: dict | None) -> None:
"""Translate a native KeyboardTeleop's held-key set into MovementState.
@@ -348,11 +386,14 @@ class SonicWholeBodyController:
# robot doesn't stay frozen tracking the last pose.
smpl = _extract_smpl_from_action(action)
root_quat = _extract_root_from_action(action)
if smpl is None and self._smpl_stream is not None:
vr3 = _extract_vr3_from_action(action)
if smpl is None and vr3 is None and self._smpl_stream is not None:
window = self._smpl_stream.step()
if self._smpl_stream.has_data and not self._smpl_stream.is_stale:
smpl = window
root_quat = np.asarray(self._smpl_stream.root_quat, np.float32)
if self._smpl_stream.has_vr3:
vr3 = (self._smpl_stream.vr3_pos, self._smpl_stream.vr3_orn)
if smpl is not None:
# Full-body whole-body tracking: SMPL drives the reference, not joystick.
@@ -366,8 +407,18 @@ class SonicWholeBodyController:
self.controller.smpl_root_quat = root_quat if self.enable_smpl_root else None
return self._runtime.tick(obs, debug=False, use_joystick=False)
# No (or stale) SMPL: fall back to locomotion so the robot stays balanced.
if self.controller.encode_mode == 2:
if vr3 is not None:
# 3-point VR teleop: upper body tracks the wrist/neck targets; the lower
# body / locomotion keeps running off the planner, so the joystick (and
# keyboard) still steer walking/turning underneath.
if self.controller.encode_mode != 1:
self._enter_3point()
self.controller.vr_3point_local_target = vr3[0]
self.controller.vr_3point_local_orn_target = vr3[1]
return self._runtime.tick(obs, debug=False, use_joystick=True)
# No (or stale) teleop reference: fall back to locomotion so the robot stays balanced.
if self.controller.encode_mode != 0:
self.controller.smpl_root_quat = None
self._exit_wholebody()
return self._runtime.tick(obs, debug=False)
@@ -0,0 +1,20 @@
#!/usr/bin/env python
# Copyright 2026 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 .config_g1_sonic_slider import G1SonicSliderTeleopConfig
from .g1_sonic_slider import G1SonicSliderTeleop
__all__ = ["G1SonicSliderTeleop", "G1SonicSliderTeleopConfig"]
@@ -0,0 +1,35 @@
#!/usr/bin/env python
# Copyright 2026 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 dataclasses import dataclass
from ..config import TeleoperatorConfig
@TeleoperatorConfig.register_subclass("g1_sonic_slider")
@dataclass
class G1SonicSliderTeleopConfig(TeleoperatorConfig):
"""Pygame sliders for 29-DOF G1 poses (SONIC encoder mode 0 reference)."""
window_width: int = 780
window_height: int = 720
slider_width: int = 200
row_height: int = 22
scroll_step: int = 40
foot_panel_width: int = 248
use_leg_ik: bool = True
foot_xyz_margin: tuple[float, float, float] = (0.22, 0.18, 0.18)
"""Per-axis slider half-range (m) around standing foot FK position in pelvis frame."""
@@ -0,0 +1,458 @@
#!/usr/bin/env python
# Copyright 2026 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.
"""Pygame SONIC test UI: foot xyz (leg IK) + waist/arm joint sliders."""
from __future__ import annotations
import logging
import multiprocessing as mp
import queue
from functools import cached_property
import numpy as np
from lerobot.robots.unitree_g1.controllers.sonic_pipeline import DEFAULT_ANGLES
from lerobot.utils.import_utils import require_package
from ..teleoperator import Teleoperator
from .config_g1_sonic_slider import G1SonicSliderTeleopConfig
from .joint_limits import JOINT_HI, JOINT_LO, JOINT_NAMES
logger = logging.getLogger(__name__)
NUM_JOINTS = 29
LEG_JOINT_COUNT = 12
UPPER_BODY_INDICES = list(range(LEG_JOINT_COUNT, NUM_JOINTS))
NUM_FOOT_SLIDERS = 6
FOOT_LABELS = ("L foot X", "L foot Y", "L foot Z", "R foot X", "R foot Y", "R foot Z")
# Pelvis-frame standing foot centers (m) if Pinocchio FK is unavailable at startup.
_FALLBACK_LEFT_FOOT = np.array([0.02, 0.12, -0.76], dtype=np.float32)
_FALLBACK_RIGHT_FOOT = np.array([0.02, -0.12, -0.76], dtype=np.float32)
HEADER_H = 56
LABEL_W = 148
MARGIN = 10
KNOB_W = 10
def _leg_ik_process(target_q: mp.Queue, result_q: mp.Queue, stop_evt) -> None:
"""Child process: build the leg IK once, then solve for the latest foot target.
The IPOPT/CasADi solve holds the GIL, so it must run in a separate *process*
(not a thread) to keep the teleop UI loop responsive.
"""
import numpy as _np
from lerobot.robots.unitree_g1.controllers.sonic_pipeline import DEFAULT_ANGLES as _DEFAULTS
from lerobot.robots.unitree_g1.g1_kinematics import G1_29_LegIK
try:
ik = G1_29_LegIK()
q_legs = _DEFAULTS[:LEG_JOINT_COUNT].astype(_np.float64)
ik.cache_default_orientation(q_legs)
left_pos, right_pos = ik.foot_positions(q_legs)
except Exception as e: # noqa: BLE001
result_q.put(("error", str(e)))
return
current = q_legs.copy()
result_q.put(("ready", _np.concatenate([left_pos, right_pos]).astype(_np.float64)))
while not stop_evt.is_set():
try:
target = target_q.get(timeout=0.1)
except queue.Empty:
continue
if target is None:
break
# Drain to the most recent target so we never solve stale slider positions.
while True:
try:
newer = target_q.get_nowait()
except queue.Empty:
break
if newer is None:
target = None
break
target = newer
if target is None:
break
target = _np.asarray(target, dtype=_np.float64)
# Fast damped-least-squares IK: sub-ms per step, warm-started from the last
# solution so the legs track the sliders in real time.
leg_q = ik.solve_ik_dls(target[:3], target[3:], current_leg_q_g1=current)
current = _np.asarray(leg_q, dtype=_np.float64)
result_q.put(("q", current.copy()))
class G1SonicSliderTeleop(Teleoperator):
"""Foot xyz + waist/arm sliders feeding SONIC encoder mode 0."""
config_class = G1SonicSliderTeleopConfig
name = "g1_sonic_slider"
def __init__(self, config: G1SonicSliderTeleopConfig):
super().__init__(config)
self.config = config
self._values = DEFAULT_ANGLES.astype(np.float32).copy()
self._foot_xyz = np.zeros(6, dtype=np.float32)
self._foot_lo = np.full(6, -0.5, dtype=np.float32)
self._foot_hi = np.full(6, 0.5, dtype=np.float32)
self._scroll_y = 0
self._drag_joint: int | None = None
self._drag_foot: int | None = None
self._connected = False
self._pygame = None
self._screen = None
self._font = None
self._small_font = None
self._clock = None
# Leg IK runs in a separate process: the IPOPT/CasADi solve holds the GIL,
# so a thread would still stall the UI loop. We publish the latest foot
# target and read back the newest solution over queues, never blocking.
self._ik_proc: mp.process.BaseProcess | None = None
self._ik_target_q: mp.Queue | None = None
self._ik_result_q: mp.Queue | None = None
self._ik_stop_evt = None
self._ik_ready = False
self._standing_foot_xyz: np.ndarray | None = None
self._leg_ik_ok = False
self._leg_ik_error: str | None = None
self._foot_divider_x = config.foot_panel_width
@cached_property
def action_features(self) -> dict[str, type]:
return {f"{name}.q": float for name in JOINT_NAMES}
@cached_property
def feedback_features(self) -> dict[str, type]:
return {}
@property
def is_connected(self) -> bool:
return self._connected
@property
def is_calibrated(self) -> bool:
return True
def _set_foot_limits_from_positions(self, left_pos: np.ndarray, right_pos: np.ndarray) -> None:
"""Slider range = FK foot position at standing pose ± foot_xyz_margin (meters, pelvis frame)."""
margin = np.array(self.config.foot_xyz_margin, dtype=np.float32)
for i, pos in enumerate((left_pos, right_pos)):
base = i * 3
self._foot_xyz[base : base + 3] = pos.astype(np.float32)
self._foot_lo[base : base + 3] = pos.astype(np.float32) - margin
self._foot_hi[base : base + 3] = pos.astype(np.float32) + margin
def _set_fallback_foot_limits(self) -> None:
self._set_foot_limits_from_positions(_FALLBACK_LEFT_FOOT, _FALLBACK_RIGHT_FOOT)
def _init_leg_ik(self) -> None:
if not self.config.use_leg_ik:
return
# Fallback limits until the solver process reports standing FK foot positions.
self._set_fallback_foot_limits()
try:
# Metadata name for the Pinocchio distribution is "pin" (conda-forge/PyPI),
# not "pinocchio", which is only the importable module name.
require_package("pin", extra="unitree_g1", import_name="pinocchio")
require_package("casadi", extra="unitree_g1", import_name="casadi")
except Exception as e:
self._leg_ik_ok = False
self._leg_ik_error = str(e)
logger.warning("Leg IK unavailable (%s); foot sliders shown but legs use joint values", e)
return
# Use "spawn": the parent already holds CUDA/pygame/threads and forking that
# state into the solver is unsafe.
ctx = mp.get_context("spawn")
self._ik_target_q = ctx.Queue(maxsize=2)
self._ik_result_q = ctx.Queue()
self._ik_stop_evt = ctx.Event()
self._ik_proc = ctx.Process(
target=_leg_ik_process,
args=(self._ik_target_q, self._ik_result_q, self._ik_stop_evt),
name="g1-leg-ik",
daemon=True,
)
self._ik_proc.start()
self._leg_ik_ok = True
self._leg_ik_error = None
logger.info("Leg IK solver process starting (foot limits update once standing FK is ready)...")
def _publish_ik_target(self) -> None:
if self._ik_target_q is None:
return
# Keep only the newest target; drop if the child is momentarily behind.
try:
self._ik_target_q.put_nowait(self._foot_xyz.copy())
except queue.Full:
pass
def _pump_ik_results(self) -> None:
if self._ik_result_q is None:
return
while True:
try:
kind, payload = self._ik_result_q.get_nowait()
except queue.Empty:
break
if kind == "q":
self._values[:LEG_JOINT_COUNT] = np.asarray(payload, dtype=np.float32)
elif kind == "ready":
payload = np.asarray(payload, dtype=np.float32)
self._standing_foot_xyz = payload.copy()
self._set_foot_limits_from_positions(payload[:3], payload[3:])
self._ik_ready = True
logger.info(
"Leg IK ready — foot slider limits from standing FK ± %s m (pelvis frame)",
self.config.foot_xyz_margin,
)
elif kind == "error":
self._leg_ik_ok = False
self._leg_ik_error = str(payload)
logger.warning(
"Leg IK unavailable (%s); foot sliders shown but legs use joint values", payload
)
def _stop_ik_process(self) -> None:
if self._ik_proc is None:
return
try:
if self._ik_stop_evt is not None:
self._ik_stop_evt.set()
if self._ik_target_q is not None:
try:
self._ik_target_q.put_nowait(None)
except queue.Full:
pass
self._ik_proc.join(timeout=2.0)
if self._ik_proc.is_alive():
self._ik_proc.terminate()
finally:
self._ik_proc = None
def connect(self, calibrate: bool = True) -> None:
require_package("pygame", extra="pygame-dep", import_name="pygame")
import pygame
self._foot_divider_x = self.config.foot_panel_width
self._pygame = pygame
pygame.init()
pygame.display.set_caption("G1 SONIC — foot IK + upper-body sliders")
self._screen = pygame.display.set_mode((self.config.window_width, self.config.window_height))
self._font = pygame.font.SysFont("dejavusans", 15)
self._small_font = pygame.font.SysFont("dejavusans", 12)
self._clock = pygame.time.Clock()
self._init_leg_ik()
self._connected = True
logger.info("G1 sonic slider UI ready (R=reset, wheel=scroll, Esc=quit)")
def configure(self) -> None:
pass
def calibrate(self) -> None:
pass
def _reset_pose(self) -> None:
self._values[:] = DEFAULT_ANGLES
if self._leg_ik_ok and self._standing_foot_xyz is not None:
self._foot_xyz[:] = self._standing_foot_xyz
self._publish_ik_target()
def _foot_row_rect(self, foot_idx: int) -> tuple[int, int, int, int]:
y = HEADER_H + foot_idx * self.config.row_height
track_x = MARGIN + 88
track_w = self.config.foot_panel_width - track_x - MARGIN
return track_x, y, track_w, self.config.row_height
def _joint_row_rect(self, ui_idx: int) -> tuple[int, int, int, int]:
joint_idx = UPPER_BODY_INDICES[ui_idx] if self._leg_ik_ok else ui_idx
row = ui_idx
y = HEADER_H + row * self.config.row_height - self._scroll_y
track_x = self._foot_divider_x + MARGIN + LABEL_W
track_w = self.config.slider_width
return track_x, y, track_w, self.config.row_height, joint_idx
def _value_from_track(self, lo: float, hi: float, mouse_x: int, track_x: int, track_w: int) -> float:
t = (mouse_x - track_x) / max(track_w, 1)
t = float(np.clip(t, 0.0, 1.0))
return lo + t * (hi - lo)
def _knob_x(self, val: float, lo: float, hi: float, track_x: int, track_w: int) -> int:
span = hi - lo if hi > lo else 1.0
t = (val - lo) / span
return int(track_x + t * track_w)
def _handle_events(self) -> bool:
pygame = self._pygame
num_joint_rows = len(UPPER_BODY_INDICES) if self._leg_ik_ok else NUM_JOINTS
max_scroll = max(0, num_joint_rows * self.config.row_height - self.config.window_height + HEADER_H)
for event in pygame.event.get():
if event.type == pygame.QUIT:
return False
if event.type == pygame.KEYDOWN:
if event.key == pygame.K_ESCAPE:
return False
if event.key == pygame.K_r:
self._reset_pose()
if event.type == pygame.MOUSEWHEEL:
self._scroll_y = int(np.clip(self._scroll_y - event.y * self.config.scroll_step, 0, max_scroll))
if event.type == pygame.MOUSEBUTTONDOWN and event.button == 1:
mx, my = event.pos
if self.config.use_leg_ik and mx < self._foot_divider_x:
for fi in range(NUM_FOOT_SLIDERS):
rx, ry, rw, rh = self._foot_row_rect(fi)
if ry + 4 <= my <= ry + rh - 4 and rx <= mx <= rx + rw:
self._drag_foot = fi
self._foot_xyz[fi] = self._value_from_track(
float(self._foot_lo[fi]),
float(self._foot_hi[fi]),
mx,
rx,
rw,
)
break
else:
for ui in range(num_joint_rows):
rx, ry, rw, rh, ji = self._joint_row_rect(ui)
if ry + rh < HEADER_H or ry > self.config.window_height:
continue
if ry + 4 <= my <= ry + rh - 4 and rx <= mx <= rx + rw:
self._drag_joint = ji
self._values[ji] = self._value_from_track(
float(JOINT_LO[ji]), float(JOINT_HI[ji]), mx, rx, rw
)
break
if event.type == pygame.MOUSEBUTTONUP and event.button == 1:
self._drag_foot = None
self._drag_joint = None
if event.type == pygame.MOUSEMOTION:
mx, my = event.pos
if self._drag_foot is not None:
rx, _, rw, _ = self._foot_row_rect(self._drag_foot)
self._foot_xyz[self._drag_foot] = self._value_from_track(
float(self._foot_lo[self._drag_foot]),
float(self._foot_hi[self._drag_foot]),
mx,
rx,
rw,
)
elif self._drag_joint is not None:
for ui in range(num_joint_rows):
rx, ry, rw, rh, ji = self._joint_row_rect(ui)
if ji == self._drag_joint:
self._values[ji] = self._value_from_track(
float(JOINT_LO[ji]), float(JOINT_HI[ji]), mx, rx, rw
)
break
return True
def _draw_foot_panel(self) -> None:
pygame = self._pygame
screen = self._screen
panel_title = self._small_font.render("Foot IK (pelvis)", True, (180, 200, 255))
screen.blit(panel_title, (MARGIN, 38))
if self._leg_ik_error:
err = self._leg_ik_error if len(self._leg_ik_error) < 42 else self._leg_ik_error[:39] + "..."
screen.blit(self._small_font.render(f"IK off: {err}", True, (255, 120, 120)), (MARGIN, 50))
pygame.draw.line(
screen,
(60, 60, 70),
(self._foot_divider_x - 1, HEADER_H - 4),
(self._foot_divider_x - 1, self.config.window_height),
1,
)
for fi, label in enumerate(FOOT_LABELS):
rx, ry, rw, rh = self._foot_row_rect(fi)
lo, hi = float(self._foot_lo[fi]), float(self._foot_hi[fi])
txt = self._small_font.render(label, True, (190, 210, 230))
screen.blit(txt, (MARGIN, ry + 4))
track_y = ry + rh // 2 - 2
pygame.draw.rect(screen, (45, 55, 70), (rx, track_y, rw, 4), border_radius=2)
kx = self._knob_x(float(self._foot_xyz[fi]), lo, hi, rx, rw)
pygame.draw.rect(screen, (70, 140, 220), (rx, track_y, max(0, kx - rx), 4), border_radius=2)
pygame.draw.rect(screen, (200, 225, 255), (kx - KNOB_W // 2, track_y - 5, KNOB_W, 14), border_radius=3)
val_txt = self._small_font.render(f"{self._foot_xyz[fi]:+.3f}", True, (150, 200, 220))
screen.blit(val_txt, (rx + rw + 4, ry + 4))
def _draw_joint_panel(self) -> None:
pygame = self._pygame
screen = self._screen
num_joint_rows = len(UPPER_BODY_INDICES) if self._leg_ik_ok else NUM_JOINTS
joint_title = "Waist + arms" if self._leg_ik_ok else "All joints"
screen.blit(
self._small_font.render(joint_title, True, (180, 180, 190)),
(self._foot_divider_x + MARGIN, 38),
)
for ui in range(num_joint_rows):
rx, ry, rw, rh, ji = self._joint_row_rect(ui)
if ry + rh < HEADER_H or ry > self.config.window_height:
continue
short = JOINT_NAMES[ji].removeprefix("k")
label = self._small_font.render(f"{ji:02d} {short}", True, (200, 200, 210))
screen.blit(label, (self._foot_divider_x + MARGIN, ry + 4))
track_y = ry + rh // 2 - 2
lo, hi = float(JOINT_LO[ji]), float(JOINT_HI[ji])
pygame.draw.rect(screen, (55, 55, 65), (rx, track_y, rw, 4), border_radius=2)
kx = self._knob_x(float(self._values[ji]), lo, hi, rx, rw)
pygame.draw.rect(screen, (80, 160, 255), (rx, track_y, max(0, kx - rx), 4), border_radius=2)
pygame.draw.rect(screen, (220, 235, 255), (kx - KNOB_W // 2, track_y - 5, KNOB_W, 14), border_radius=3)
val_txt = self._small_font.render(f"{self._values[ji]:+.3f}", True, (170, 220, 170))
screen.blit(val_txt, (rx + rw + 8, ry + 4))
def _draw(self) -> None:
pygame = self._pygame
screen = self._screen
screen.fill((28, 28, 32))
title = self._font.render("G1 reference → SONIC encoder mode 0", True, (230, 230, 235))
hint = self._small_font.render("Foot xyz (left) · waist/arms (right) · R reset · Esc quit", True, (150, 150, 160))
screen.blit(title, (MARGIN, 10))
screen.blit(hint, (MARGIN, 28))
if self.config.use_leg_ik:
self._draw_foot_panel()
self._draw_joint_panel()
pygame.display.flip()
def get_action(self) -> dict[str, float]:
if not self._connected:
return {f"{name}.q": float(self._values[i]) for i, name in enumerate(JOINT_NAMES)}
if not self._handle_events():
raise KeyboardInterrupt("G1 sonic slider window closed")
if self._leg_ik_ok:
# Read the newest solution from the solver process and hand it the latest
# foot target — never block the teleop loop on the IPOPT solve.
self._pump_ik_results()
self._publish_ik_target()
self._draw()
self._clock.tick(60)
return {f"{name}.q": float(self._values[i]) for i, name in enumerate(JOINT_NAMES)}
def send_feedback(self, feedback: dict) -> None:
del feedback
def disconnect(self) -> None:
self._stop_ik_process()
if self._pygame is not None:
self._pygame.quit()
self._connected = False
self._screen = None
@@ -0,0 +1,64 @@
#!/usr/bin/env python
# Copyright 2026 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.
"""G1 29-DOF joint limits (rad) in MuJoCo / G1_29_JointIndex order — from g1_29dof.xml.
SONIC encoder mode 0 expects Isaac Lab order; the whole-body controller remaps on ingest.
"""
import numpy as np
from lerobot.robots.unitree_g1.g1_utils import G1_29_JointIndex
# (low, high) per joint index 0..28
_G1_LIMITS = np.array(
[
(-2.5307, 2.8798), # kLeftHipPitch
(-0.5236, 2.9671), # kLeftHipRoll
(-2.7576, 2.7576), # kLeftHipYaw
(-0.087267, 2.8798), # kLeftKnee
(-0.87267, 0.5236), # kLeftAnklePitch
(-0.2618, 0.2618), # kLeftAnkleRoll
(-2.5307, 2.8798), # kRightHipPitch
(-2.9671, 0.5236), # kRightHipRoll
(-2.7576, 2.7576), # kRightHipYaw
(-0.087267, 2.8798), # kRightKnee
(-0.87267, 0.5236), # kRightAnklePitch
(-0.2618, 0.2618), # kRightAnkleRoll
(-2.618, 2.618), # kWaistYaw
(-0.52, 0.52), # kWaistRoll
(-0.52, 0.52), # kWaistPitch
(-3.0892, 2.6704), # kLeftShoulderPitch
(-1.5882, 2.2515), # kLeftShoulderRoll
(-2.618, 2.618), # kLeftShoulderYaw
(-1.0472, 2.0944), # kLeftElbow
(-1.97222, 1.97222), # kLeftWristRoll
(-1.61443, 1.61443), # kLeftWristPitch
(-1.61443, 1.61443), # kLeftWristYaw
(-3.0892, 2.6704), # kRightShoulderPitch
(-2.2515, 1.5882), # kRightShoulderRoll
(-2.618, 2.618), # kRightShoulderYaw
(-1.0472, 2.0944), # kRightElbow
(-1.97222, 1.97222), # kRightWristRoll
(-1.61443, 1.61443), # kRightWristPitch
(-1.61443, 1.61443), # kRightWristYaw
],
dtype=np.float32,
)
JOINT_NAMES = [m.name for m in G1_29_JointIndex]
JOINT_LO = _G1_LIMITS[:, 0]
JOINT_HI = _G1_LIMITS[:, 1]
@@ -35,3 +35,7 @@ class PicoHeadsetConfig(TeleoperatorConfig):
"""Port of the rt/smpl publisher."""
stale_after_s: float = 0.5
"""Warn if no fresh headset frame arrives within this many seconds."""
mode: str = "smpl"
"""Teleop reference to emit: ``"smpl"`` for whole-body imitation (SONIC
encode_mode 2) or ``"vr3"`` for sparse 3-point upper-body teleop (encode_mode 1,
lower body driven by the joystick/keyboard planner)."""
@@ -23,7 +23,16 @@ from lerobot.types import RobotAction
from ..teleoperator import Teleoperator
from .config_pico_headset import PicoHeadsetConfig
from .smpl_constants import ROOT_ACTION_DIM, ROOT_ACTION_PREFIX, SMPL_ACTION_PREFIX, SMPL_OBS_DIM
from .smpl_constants import (
ROOT_ACTION_DIM,
ROOT_ACTION_PREFIX,
SMPL_ACTION_PREFIX,
SMPL_OBS_DIM,
VR3_ORN_DIM,
VR3_ORN_PREFIX,
VR3_POS_DIM,
VR3_POS_PREFIX,
)
from .smpl_stream import SmplStream
logger = logging.getLogger(__name__)
@@ -48,6 +57,10 @@ class PicoHeadset(Teleoperator):
@property
def action_features(self) -> dict:
if self.config.mode == "vr3":
feats = {f"{VR3_POS_PREFIX}{i}": float for i in range(VR3_POS_DIM)}
feats.update({f"{VR3_ORN_PREFIX}{i}": float for i in range(VR3_ORN_DIM)})
return feats
feats = {f"{SMPL_ACTION_PREFIX}{i}": float for i in range(SMPL_OBS_DIM)}
feats.update({f"{ROOT_ACTION_PREFIX}{i}": float for i in range(ROOT_ACTION_DIM)})
return feats
@@ -89,12 +102,21 @@ class PicoHeadset(Teleoperator):
if self._stream is None:
raise RuntimeError(f"{self} is not connected")
window = self._stream.step()
# Emit SMPL only while the headset is actively streaming: hold back before
# the first frame (so the controller doesn't track an all-zero collapsed
# pose) and once the stream goes stale (so the controller falls back to a
# safe standing/locomotion mode instead of freezing on the last pose).
# Emit a reference only while the headset is actively streaming: hold back
# before the first frame (so the controller doesn't track an all-zero
# collapsed pose) and once the stream goes stale (so the controller falls
# back to a safe standing/locomotion mode instead of freezing on the last
# pose).
if not self._stream.has_data or self._stream.is_stale:
return {}
if self.config.mode == "vr3":
# Sparse 3-point upper-body teleop (encode_mode 1). Needs the producer to
# be sending vr3_* fields; otherwise emit nothing and stay in locomotion.
if not self._stream.has_vr3:
return {}
action = {f"{VR3_POS_PREFIX}{i}": float(v) for i, v in enumerate(self._stream.vr3_pos)}
action.update({f"{VR3_ORN_PREFIX}{i}": float(v) for i, v in enumerate(self._stream.vr3_orn)})
return action
action = {f"{SMPL_ACTION_PREFIX}{i}": float(v) for i, v in enumerate(window)}
action.update({f"{ROOT_ACTION_PREFIX}{i}": float(v) for i, v in enumerate(self._stream.root_quat)})
return action
@@ -50,6 +50,7 @@ import zmq
from lerobot.teleoperators.pico_headset.smpl_fk import (
SmplForwardKinematics,
canonicalize_smpl_joints,
compute_3point,
root_quats_from_aa,
)
@@ -63,8 +64,15 @@ def pack_message(
stamp_ns: int,
root_quat: np.ndarray | None = None,
root_transl: np.ndarray | None = None,
vr3_pos: np.ndarray | None = None,
vr3_orn: np.ndarray | None = None,
) -> bytes:
"""Build the rt/smpl JSON message (single frame, topic embedded in payload)."""
"""Build the rt/smpl JSON message (single frame, topic embedded in payload).
Carries the SMPL whole-body window (``smpl_joints_local`` + ``root_*``) and,
when available, the sparse 3-point VR targets (``vr3_pos`` (9,), ``vr3_orn`` (12,))
so a single stream can drive either SONIC ``encode_mode`` 1 or 2.
"""
data = {
"smpl_joints_local": np.asarray(smpl_joints_local, np.float32).reshape(-1).tolist(),
"frame_index": int(frame_index),
@@ -74,6 +82,10 @@ def pack_message(
data["root_quat"] = np.asarray(root_quat, np.float32).reshape(-1).tolist()
if root_transl is not None:
data["root_transl"] = np.asarray(root_transl, np.float32).reshape(-1).tolist()
if vr3_pos is not None:
data["vr3_pos"] = np.asarray(vr3_pos, np.float32).reshape(-1).tolist()
if vr3_orn is not None:
data["vr3_orn"] = np.asarray(vr3_orn, np.float32).reshape(-1).tolist()
return json.dumps({"topic": SMPL_TOPIC, "data": data}).encode("utf-8")
@@ -157,6 +169,7 @@ def main() -> None:
try:
while True:
loop_start = time.time()
vr3_pos = vr3_orn = None
if clip is not None:
n = clip["joints"].shape[0]
if args.no_loop and frame_index >= n:
@@ -181,9 +194,20 @@ def main() -> None:
joints = out["smpl_joints_local"]
root_quat = out["root_quat"]
root_transl = out["root_transl"]
# Also emit the sparse 3-point VR targets so the same stream can
# drive encode_mode 1 (3-point teleop) without a second producer.
vr3_pos, vr3_orn = compute_3point(body_poses)
sock.send(
pack_message(joints, frame_index, stamp_ns, root_quat=root_quat, root_transl=root_transl)
pack_message(
joints,
frame_index,
stamp_ns,
root_quat=root_quat,
root_transl=root_transl,
vr3_pos=vr3_pos,
vr3_orn=vr3_orn,
)
)
frame_index += 1
if frame_index % int(max(1, args.fps)) == 0:
@@ -0,0 +1,51 @@
#!/usr/bin/env python
# Copyright 2026 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.
"""Single source of truth for the SONIC SMPL whole-body action protocol.
These constants define the wire format shared between the PICO teleoperator
(producer, ``pico_headset.py``), the offline motion->dataset converter
(``smpl_to_dataset.py``), the live stream (``smpl_stream.py``), and the Unitree G1
``SonicWholeBodyController`` (consumer). Keeping them here avoids the producer and
consumer silently drifting apart.
"""
# SMPL encoder window geometry (matches ``smpl_joints_10frame_step1``).
WINDOW = 10 # frames per encoder window
N_JOINTS = 24 # SMPL joints per frame
JOINT_DIM = 3 # xyz per joint
SMPL_OBS_DIM = WINDOW * N_JOINTS * JOINT_DIM # 720
# Flat action-dict keys carrying the reference through the standard lerobot action
# pipeline as scalar floats: ``smpl.0 .. smpl.719`` and ``root.0 .. root.3``.
SMPL_ACTION_PREFIX = "smpl."
ROOT_ACTION_PREFIX = "root."
ROOT_ACTION_DIM = 4 # per-frame SMPL root orientation (wxyz)
# Full per-frame action vector: 720 joint window + 4 root quaternion = 724.
ACTION_DIM = SMPL_OBS_DIM + ROOT_ACTION_DIM
# ── 3-point VR teleop protocol (SONIC encode_mode 1) ─────────────────────────
# An alternative, sparse upper-body reference: 3 root-relative keypoints
# (left wrist, right wrist, neck), each a position + orientation. The lower body /
# locomotion is driven by the planner (joystick/keyboard), not by these targets.
VR3_N_POINTS = 3 # left wrist, right wrist, neck
VR3_POS_DIM = VR3_N_POINTS * 3 # 9 (3 x xyz)
VR3_ORN_DIM = VR3_N_POINTS * 4 # 12 (3 x wxyz)
# Flat action-dict keys: ``vr3_pos.0 .. vr3_pos.8`` and ``vr3_orn.0 .. vr3_orn.11``.
VR3_POS_PREFIX = "vr3_pos."
VR3_ORN_PREFIX = "vr3_orn."
@@ -35,6 +35,8 @@ from pathlib import Path
import numpy as np
from scipy.spatial.transform import Rotation as R # noqa: N817
from .smpl_constants import VR3_N_POINTS, VR3_ORN_DIM, VR3_POS_DIM
# 24-joint parent tree used by the headset body-pose stream (SMPL-X body subset).
# Matches PoseStreamer.parent_indices in gear_sonic's pico_manager_thread_server.py.
BODY24_PARENTS = np.array(
@@ -210,6 +212,70 @@ def root_quats_from_aa(root_aa: np.ndarray) -> np.ndarray:
return root.as_quat(scalar_first=True).astype(np.float32) # wxyz
# ── 3-point VR teleop keypoints (SONIC encode_mode 1) ────────────────────────
# SMPL body-joint indices for the 3 tracked keypoints, plus the root/pelvis (0)
# used as the reference frame. Mirrors gear_sonic ``_process_3pt_pose``: neck
# (joint 12) is used rather than head (15) — it is more rigidly coupled to the
# torso and less noisy than the free-looking head.
_VR3_JOINTS = (22, 23, 12) # left wrist, right wrist, neck
# Per-keypoint rotation offsets aligning each SMPL joint frame to the robot
# convention (root, left wrist, right wrist, neck), ported verbatim from
# gear_sonic ``pico_manager_thread_server.OFFSETS`` (extrinsic xyz euler, degrees).
_VR3_OFFSETS = [
R.from_euler("xyz", [0, 0, -90], degrees=True), # root
R.from_euler("xyz", [90, 0, 0], degrees=True), # left wrist
R.from_euler("xyz", [-90, 0, 180], degrees=True), # right wrist
R.from_euler("xyz", [0, 0, -90], degrees=True), # neck
]
# Unity (X-right, Y-up, Z-forward, left-handed) -> robot (X-forward, Y-left,
# Z-up, right-handed) axis remap: Unity [x, y, z] -> robot [-x, z, y].
_UNITY_TO_ROBOT = np.array([[-1.0, 0.0, 0.0], [0.0, 0.0, 1.0], [0.0, 1.0, 0.0]])
def compute_3point(body_poses_np: np.ndarray) -> tuple[np.ndarray, np.ndarray]:
"""Extract the SONIC 3-point VR targets from headset body poses.
Mirrors gear_sonic ``_process_3pt_pose``: transforms the tracked joints from the
Unity frame to the robot frame, applies the per-keypoint rotation offsets, then
expresses the left-wrist / right-wrist / neck keypoints relative to the root
(pelvis) frame. This is the ``encode_mode == 1`` counterpart to :func:`compute`.
Note: physical wrist/neck position offsets and the operator calibration done in
gear_sonic's ``ThreePointPose.apply_calibration`` are not applied here; the raw
tracked joint poses are used.
Args:
body_poses_np: (24, 7) rows of ``[x, y, z, qx, qy, qz, qw]`` (scalar-last),
in the Unity frame, as returned by ``xrt.get_body_joints_pose()``.
Returns:
(pos, orn):
- pos: (9,) float32, root-relative ``[x, y, z]`` for [l-wrist, r-wrist, neck]
- orn: (12,) float32, root-relative ``[w, x, y, z]`` for the same order
"""
body = np.asarray(body_poses_np, np.float64)
q = _UNITY_TO_ROBOT
# Root (index 0) + the 3 tracked keypoints, each transformed to the robot frame
# and rotation-offset-corrected.
positions = np.zeros((4, 3), np.float64)
rotations: list[R] = []
for out_i, j in enumerate((0, *_VR3_JOINTS)):
positions[out_i] = q @ body[j, :3]
rot = R.from_quat(body[j, 3:7]).as_matrix() # scalar-last input
rotations.append(R.from_matrix(q @ rot @ q.T) * _VR3_OFFSETS[out_i])
root_inv = rotations[0].inv()
root_pos = positions[0]
pos = np.zeros(VR3_POS_DIM, np.float32)
orn = np.zeros(VR3_ORN_DIM, np.float32)
for k in range(VR3_N_POINTS):
pos[k * 3 : k * 3 + 3] = root_inv.apply(positions[k + 1] - root_pos)
orn[k * 4 : k * 4 + 4] = (root_inv * rotations[k + 1]).as_quat(scalar_first=True) # wxyz
return pos, orn
class SmplForwardKinematics:
"""Rest-skeleton SMPL forward kinematics (no mesh, no torch)."""
@@ -41,7 +41,7 @@ from collections import deque
import numpy as np
import zmq
from .smpl_constants import JOINT_DIM, N_JOINTS, SMPL_OBS_DIM, WINDOW
from .smpl_constants import JOINT_DIM, N_JOINTS, SMPL_OBS_DIM, VR3_ORN_DIM, VR3_POS_DIM, WINDOW
logger = logging.getLogger(__name__)
@@ -91,6 +91,10 @@ class SmplStream:
# Latest root/torso pose (updated every received frame).
self.root_quat = np.array([1.0, 0.0, 0.0, 0.0], np.float32) # (w, x, y, z)
self.root_transl = np.zeros(3, np.float32)
# Latest sparse 3-point VR targets (encode_mode 1), if the producer sends them.
self.vr3_pos = np.zeros(VR3_POS_DIM, np.float32)
self.vr3_orn = np.tile([1.0, 0.0, 0.0, 0.0], VR3_ORN_DIM // 4).astype(np.float32)
self._got_vr3 = False
self._last_index = -1
self._last_recv_t = 0.0
self._warned_stale = False
@@ -112,6 +116,11 @@ class SmplStream:
"""True once at least one real frame has been received."""
return self._got_first
@property
def has_vr3(self) -> bool:
"""True once the producer has sent at least one 3-point VR frame."""
return self._got_vr3
@property
def seconds_since_last(self) -> float:
"""Wall-clock seconds since the last real frame (inf before the first)."""
@@ -133,6 +142,7 @@ class SmplStream:
def reset(self):
self._buf.clear()
self._got_first = False
self._got_vr3 = False
# -- core ----------------------------------------------------------------
def _drain_latest(self) -> np.ndarray | None:
@@ -156,6 +166,12 @@ class SmplStream:
rt = data.get("root_transl")
if rt is not None and len(rt) == 3:
self.root_transl = np.asarray(rt, np.float32)
vp = data.get("vr3_pos")
vo = data.get("vr3_orn")
if vp is not None and vo is not None and len(vp) == VR3_POS_DIM and len(vo) == VR3_ORN_DIM:
self.vr3_pos = np.asarray(vp, np.float32)
self.vr3_orn = np.asarray(vo, np.float32)
self._got_vr3 = True
return frame
def step(self) -> np.ndarray:
@@ -0,0 +1,147 @@
#!/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.
"""Convert SMPL ``.npz`` motion clips into a LeRobotDataset for SONIC replay.
Each dataset frame's ``action`` is the 720-dim ``smpl.*`` window that the
``pico_headset`` teleoperator emits and ``SonicWholeBodyController`` reassembles
into ``encode_mode == 2``. So the resulting dataset can be pushed straight
through ``lerobot-replay`` to drive SONIC whole-body tracking with no headset:
lerobot-replay \
--robot.type=unitree_g1 \
--robot.controller=SonicWholeBodyController \
--dataset.repo_id=<user>/<clip> --dataset.episode=0
The 10-frame window is built exactly like the live ``SmplStream`` (oldest->newest,
the first frame repeated to pre-fill), so replayed actions match a live session.
Usage:
# One clip -> one-episode dataset
python -m lerobot.teleoperators.pico_headset.smpl_to_dataset \
--motion-file examples/unitree_g1/motions/walk_forward.npz \
--repo-id me/sonic_walk_forward
# Every clip in a dir -> one episode each
python -m lerobot.teleoperators.pico_headset.smpl_to_dataset \
--motion-dir examples/unitree_g1/motions --repo-id me/sonic_motions
"""
from __future__ import annotations
import argparse
from pathlib import Path
import numpy as np
from lerobot.teleoperators.pico_headset.smpl_constants import (
ACTION_DIM,
JOINT_DIM,
N_JOINTS,
ROOT_ACTION_DIM as ROOT_DIM,
ROOT_ACTION_PREFIX,
SMPL_ACTION_PREFIX,
SMPL_OBS_DIM,
WINDOW,
)
from lerobot.teleoperators.pico_headset.smpl_fk import canonicalize_smpl_joints, root_quats_from_aa
def _load_canonical_joints(path: str) -> tuple[np.ndarray, np.ndarray, float]:
"""Load an SMPL clip -> (canonical (T,24,3) joints, (T,4) root wxyz, fps)."""
data = np.load(path)
joints = data["smpl_joints"].astype(np.float32)
if joints.ndim != 3 or joints.shape[1:] != (N_JOINTS, JOINT_DIM):
raise ValueError(f"{path}: expected smpl_joints (T, 24, 3), got {joints.shape}")
t = joints.shape[0]
if "pose_aa" in data.files:
root_aa = data["pose_aa"].astype(np.float32)[:, :3]
joints = canonicalize_smpl_joints(joints, root_aa)
root_quat = root_quats_from_aa(root_aa) # (T, 4) wxyz, matches live stream
else:
# No global orient available: identity root (anchor falls back to standing).
root_quat = np.tile(np.array([1.0, 0.0, 0.0, 0.0], np.float32), (t, 1))
fps = float(data["fps"]) if "fps" in data.files else 50.0
return joints, root_quat, fps
def _windows(joints: np.ndarray) -> np.ndarray:
"""(T, 24, 3) -> (T, 720): rolling 10-frame window, matching SmplStream.
Window t = frames [t-9 .. t], clamped to 0 at the start (first frame repeated).
"""
t = joints.shape[0]
idx = np.clip(np.arange(t)[:, None] + np.arange(-WINDOW + 1, 1)[None, :], 0, t - 1)
return joints[idx].reshape(t, -1).astype(np.float32)
def _action_features() -> dict:
names = [f"{SMPL_ACTION_PREFIX}{i}" for i in range(SMPL_OBS_DIM)]
names += [f"{ROOT_ACTION_PREFIX}{i}" for i in range(ROOT_DIM)]
return {"action": {"dtype": "float32", "shape": (ACTION_DIM,), "names": names}}
def main() -> None:
p = argparse.ArgumentParser(description=__doc__)
src = p.add_mutually_exclusive_group(required=True)
src.add_argument("--motion-file", type=str, help="Single SMPL .npz clip")
src.add_argument("--motion-dir", type=str, help="Directory of .npz clips (one episode each)")
p.add_argument("--repo-id", required=True, help="Dataset repo id, e.g. user/name")
p.add_argument("--root", type=str, default=None, help="Local dataset root (default HF cache)")
p.add_argument("--fps", type=int, default=None, help="Override fps (default: clip fps)")
p.add_argument("--task", type=str, default="sonic whole-body SMPL replay")
args = p.parse_args()
from lerobot.datasets.lerobot_dataset import LeRobotDataset
if args.motion_dir:
clips = sorted(str(pth) for pth in Path(args.motion_dir).glob("*.npz"))
if not clips:
raise SystemExit(f"No .npz clips found in {args.motion_dir}")
else:
clips = [args.motion_file]
first_joints, first_root, first_fps = _load_canonical_joints(clips[0])
fps = args.fps or int(round(first_fps))
dataset = LeRobotDataset.create(
repo_id=args.repo_id,
fps=fps,
features=_action_features(),
root=args.root,
robot_type="unitree_g1",
use_videos=False,
)
for clip_i, clip in enumerate(clips):
if clip_i == 0:
joints, root_quat = first_joints, first_root
else:
joints, root_quat, _ = _load_canonical_joints(clip)
windows = _windows(joints) # (T, 720)
# action = [720 joint window | 4 root wxyz] per frame -> (T, 724)
actions = np.concatenate([windows, root_quat.astype(np.float32)], axis=1)
for a in actions:
dataset.add_frame({"action": a, "task": args.task})
dataset.save_episode()
print(f"[smpl_to_dataset] episode {clip_i}: {Path(clip).name} ({actions.shape[0]} frames)")
dataset.finalize()
print(f"[smpl_to_dataset] wrote {len(clips)} episode(s) to {dataset.root}")
if __name__ == "__main__":
main()