One RL Policy for 200+ Robot Models: Generalist Motion Control Policy γ₀ Opens Call for URDFs
GeorgiaChal · x · 2026-10-02
Nico Bohlinger's team unveiled γ₀, a generalist RL motion control policy trained across millions of randomized embodiments derived from a growing library of 200+ robot models.
- Randomizes geometry, dynamics, and actuation properties across many embodiments
- Aiming for one policy that generalizes across robot morphologies
- Open call: contribute your robot platform or URDF by Oct 15
More from Embodied
- LeKiwi robot arm swaps OAK-D S2 for Orbbec Gemini 2 camera — kamathsblog · 2026-10-02
- Shield AI borrows Tesla's simulation playbook, bets Aechelon deal wins AI pilot training — BrettKrieger12 · 2026-10-02
- OpenAI gifts developers a 'Codex Micro' hardware device, first units shown off — OpenAIDevs · 2026-10-02
- Bullish analyst: Cybercab registrations climbing, TSLA undervalues the buildout — JOBhakdi · 2026-10-02
- Rhoda's robots unpack, scan and stack component reels for real customers — vincesitzmann · 2026-10-02
- Agility's Digit picks totes autonomously at IROS with ~80-90% success — jonstephens85 · 2026-10-02