Releases: BotRunner64/Teleopit
Releases · BotRunner64/Teleopit
v0.4.0
Highlights
- Improved Pico realtime control with pico-bridge 0.2.1, ARMS mode, and retargeter-preserving mode/pause resets.
- Added optional LinkerHand L6/O6 sim2real control, including Pico gripper input and low-latency L6 vr_hand_pose.
- Added manual Pico sim2real HDF5 recording and an interactive Pico motion recorder for training NPZ clips.
- Refined the training data path with minimal HDF5 shards, explicit precompute, rewind sampling, and updated tracking rewards.
Assets
- ModelScope assets updated for v0.4.0.
- act_40k policy published as checkpoints/track.onnx and checkpoints/track.pt.
- Canonical robot assets published as archives/robot_assets.tar.gz.
- ModelScope model tag: v0.4.0.
Teleopit v0.3.0
Realtime input and runtime consolidation release.
Highlights:
- Pico 4 now uses the in-process pico-bridge 0.2.0 receiver
- Optional host camera preview streaming back to Pico through pico-bridge
- Removed the old ZMQ and separate onboard Pico paths
- Added UDP BVH realtime input and online sim configuration
- Shared sim/sim2real reference-window buffering, realtime buffer config, pause/resume realignment, and velocity smoothing
- Expanded multi-viewer support with fixed RGB camera viewer
- Split sim2real reference processing and safety handling into focused modules
- Updated the G1 MuJoCo XML asset with the fixed RGB camera
Compatibility note:
- Teleopit v0.3.0 targets pico-bridge 0.2.0. Do not upgrade the Pico receiver to pico-bridge 0.2.1, because 0.2.1 changed interface semantics that this Teleopit release does not target.
Validation:
- python scripts/dev/check_large_tracked_files.py
- pytest tests/ -v: 228 passed, 1 skipped
Teleopit v0.2.0
Pico and sim2real runtime release.
Highlights:
- Pico 4 teleoperation through pico-bridge 0.2.0 on the Teleopit host
- Optional camera preview streaming back to the headset
- G1 Bridge SDK integration using the C++ DDS bridge
- Simplified offline playback with keyboard controls
- Pico sim2sim keyboard mode state machine
- Standalone standing controller and realtime mocap catch-up
- Released model upgraded to the 30k checkpoint
Teleopit v0.1.1
Maintenance and data pipeline release.
Highlights:
- Dataset shard-only refactor
- Adaptive bin sampling
- External asset management through ModelScope
- Repository slimming
Teleopit v0.1.0
Initial public release.
Highlights:
- General-Tracking-G1 whole-body tracking training
- ONNX sim2sim inference
- Pico 4 VR teleoperation
- Unitree G1 hardware deployment