Qing-Yu Lan

TRACE: Efficient Transfer Learning for Neural Whole-Body Control Across Humanoid Embodiments

TRACE first injects kinematic priors into input and output projection layers and aligns nominal joint dynamics to reduce embodiment mismatch and support stable fine-tuning, then combines encoder distillation with low-rank reinforcement learning on a compact, quality-screened motion set.