booster_mjlab: open-source sim-to-real training stack for the Booster K1 humanoid
kevin_zakka · x · 2026-09-19
- A team released boostermjlab, an mjLab integration for the Booster K1 humanoid: robot model, training tasks, and an AMP motion-prior pipeline spanning simulation to the real robot.
- Tasks include AMP-based velocity tracking and motion tracking (enabling acrobatics), with motion references retargeted from LAFAN1 onto the K1's parallel-ankle design; a built-in viewer lets you browse, play back, and edit clips before training.
- An in-browser interactive demo runs the exported policy at 50 Hz in MuJoCo compiled to WebAssembly (14 MB), controllable via joystick, WASD, or gamepad.
- On hardware, the AMP velocity policy walks after 30k training steps. The project comes from the whIRLwind team, which focuses on robot football and is recruiting students and collaborators.
More from Embodied
- DISCO distilled tree search named CoRL 2026 best-paper finalist, top 6 of 687 — yining_hong · 2026-11-04
- Berkeley's Value Forcing: enforcing Bellman consistency at every noise level for accurate RL value functions — berkeley_ai · 2026-11-04
- 22 Creative SAM 3.1 Use Cases From Meta's AI Developer Hackathon, From Wildfire Detection to Document Reassembly — Vjeux · 2026-11-04
- Ex-OpenAI robotics intern breaks down viral Astra robot-painting demo on Cerebras podcast — AccBalanced · 2026-11-04
- Embodied Agent Arena: Closed-Weight VLMs Lead All Five Robot Task Domains, Open-Weight Models Lag — Haojian Huang · 2026-11-04
- PrimeBot's PrimeSim: a generalist world model simulator trained on cross-embodiment demos — Travis Davies · 2026-11-04