Author

Litao Liu

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Preprint Sep 2026

A4A: Cross-Embodiment Transfer of Action-Oriented 4D Affordances from Human Demonstrations

Human demonstrations contain rich manipulation knowledge, but it remains unclear what information can be transferred effectively to robot control. Existing affordance representations are typically formulated as 2D masks, 3D regions, contact points, or actionability scores, and therefore primarily identify where interac...

Yi-Fan Han, Li-Tao Liu, Yu Gu et al. · 1 citation

Jul 2026

Foresight Residual RL for Long-Horizon Robot Manipulation with Vision-Language-Action Models

Foresight Residual RL is proposed, which optimizes handoff quality by augmenting each subtask's sparse success reward with an offline-estimated foresight value -- the probability of future subtask success conditioned on the terminal state of the current subtask.

Yuhan Liu, Xinyu Zhang, Litao Liu et al. · arXiv.org · 1 citation