Author

Shoujie Li

3 papers indexed here

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Preprint Oct 2026

TacOT: Learning Contact-Rich Dexterous Manipulation from Human Demonstrations via Tactile-Guided Optimal Transport

Learning contact-rich dexterous manipulation from human demonstrations provides a scalable source of interaction data, yet transferring such skills to robots remains challenging due to unreliable human--robot correspondence. Existing human-to-robot transfer methods typically rely on visual appearance or motion similari...

Xing-Ting Li, Yi-Fan Han, Zi-Jian Lin et al. · 0 citations

#artificial intelligence Review Feb 2026

PACT-WAM: Predicting Actions and Visual Foresight with Compact Temporal Encoding for Robot Manipulation

PACT-WAM is introduced, a world-action model that jointly generates a 16-step action trajectory and its temporally corresponding visual forecast through conditional flow sampling, andlations show that hierarchical history allocation and joint action-visual generation improve control success.

Yu-Shan Liu, Jing-Jing Fan, Shou-Jie Li et al. · 3 citations

Jul 2026

CheckVLA: Execution-Time Verification with Action-Conditioned World Model for Long-Horizon Mobile Manipulation

CheckVLA is proposed, which verifies execution with a separately trained, frozen action-conditioned world model, and results support action-conditioned verification as a way to restore feedback during chunked execution while keeping the repair consistent with inference latency.

Yu-Shan Liu, Pei-Bo Sun, Xin-Tao Chao et al. · arXiv.org · 4 citations