Zimian Peng

TrajBooster: Boosting Humanoid Whole-Body Manipulation Via Trajectory-Centric Learning

Recent Vision-Language-Action (VLA) models show potential to generalize across embodiments but struggle to quickly align with a new robot’s action space when high-quality demonstrations are scarce, especially for bipedal humanoids. We present TrajBooster, a cross-embodiment framework that leverages …