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TRACE: Efficient Transfer Learning for Neural Whole-Body Control Across Humanoid Embodiments
Humanoid behavior foundation models (BFMs) enable diverse whole-body control, but adapting a pretrained controller to a new embodiment remains challenging because of kinematic and dynamic mismatch. We present TRACE, a framework for efficient cross-embodiment adaptation that preserves pretrained moti
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