Wenhao Li

Forget end-to-end motion models: MoRL uses reinforcement learning and chain-of-thought reasoning to achieve state-of-the-art results in human motion understanding and generation.

Current warehouse robot coordination algorithms break down when faced with realistic constraints like dynamic order streams and physics-aware motion, revealing a critical gap in existing benchmarks.