FlipAnything: Robots Learn Complex Motions via LLM-Generated Code

UC Berkeley's CoRL 2026 paper FlipAnything lets an LLM-based coding agent teach itself complex bimanual manipulation tasks, boosting success from 24.7% to 95%, with community debate over whether it's simply vision plus IK tool-calling.

2026-11-10 ~ 2026-11-10 · 3 related posts

• FlipAnything at CoRL: robots learn complex behaviors from LLM-generated code — berkeley_ai · 2026-11-10
• LLM agent directly controls bimanual robot arms: same model plays Minecraft and writes PyTorch — k7agar · 2026-11-10
• Berkeley's Flip Anything: coding agent self-learns robot flip policies from 24.7% to 95% success — k7agar · 2026-11-10