Author

Feiyu Jia

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Preprint Aug 2026

Towards Professional Tennis Styles for Humanoid Robots with Adaptive Motion Planning and Tracking

This work proposes AdaPT, an Adaptive Motion Planning and Tracking framework that learns professional tennis serving and rally styles directly from broadcast videos, and improves tracking robustness by learning to track randomized execution speeds, while conditioning the planner on a learned motion-speed adapter to mit...

Tao Huang, Ruofei Liu, Xuchen Tang et al. · 0 citations

Jul 2026

Scaling Behavior Foundation Model for Humanoid Robots

This work revisits the scaling recipe for BFMs and demonstrates that substantial performance gains can be achieved through the coordination of three core components: the learning paradigm of motion tracking that reformulates diverse humanoid control problems as the reproduction of integrated whole-body behaviors in the...

Weishuai Zeng, Kangning Yin, Xiaojie Niu et al. · arXiv.org · 3 citations · ⚡1