γ₀ generalist robot policy grows to 278 robots across 200+ embodiments
Jan_R_Peters · x · 2026-10-15
The γ₀ team is scaling its generalist RL policy for multi-embodiment motion control: one policy trained across millions of randomized embodiments from over 200 robot models, with 278 robots now deployed across ground, underwater, and aerial platforms.
- The team is inviting labs with quirky robot models to join deployment; contributions open until October 15 via [email protected]
- Advisor lineup includes Chelsea Finn, Marco Hutter, Davide Scaramuzza, Amanda Prorok, and Jan Peters
- The approach echoes cross-embodiment generalization: train one motion-control policy over a massive, ever-growing fleet of robot designs
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