Berkeley open-sources RoboSimStudio: AI agents program industrial robots without training data
berkeley_ai · x · 2026-11-12
UC Berkeley and NVIDIA released open-source tools letting teams of AI coding agents write, simulate, and refine readable robot programs without massive training data. Ken Goldberg calls agentic robotics a fundamental shift: agents generate, test, and refine programs while human engineers interpret and verify. The work introduces GaP (Graph-as-Policy), a modular framework splitting tasks into skills like perception and grasp planning.
More from Embodied
- Wired tries the OpenAI-powered Microduck, a tiny robot duck that chases cats — Wired AI · 2026-11-12
- RoboCap-10k released: 10,000 hours of open egocentric robot data with metric actions — databoydg · 2026-11-12
- Claude Fable 5.2 Solves Rubik's Cube on Trossen WidowX Robot Arms in Anthropic Launch Demo — kscottz · 2026-11-12
- Scoble: AI glasses will get smaller and cheaper, and China's market appetite dwarfs the US — Scobleizer · 2026-11-12
- Blackmagic launches 108-mic 7th-order ambisonic microphone priced at $1,909 — Scobleizer · 2026-11-12
- NVIDIA unveils GR00T 2 humanoid open world action model, benchmarked on AI2's MolmoSpaces — Kyle_L_Wiggers · 2026-11-12