Embodiment-Aware Generalist Specialist Distillation for Unified Humanoid Whole-Body Control

Researchers introduce EAGLE, a reinforcement learning framework that creates unified control policies for multiple different humanoid robots without per-robot tuning. The system uses iterative generalist-specialist distillation to enable a single AI controller to manage diverse humanoid embodiments and support complex behaviors beyond basic walking.