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Bo-Hao Huang

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#machine learning Preprint Oct 2026

Beyond the End-Effector: Learning Whole-Arm Contact Manipulation from Human Demonstrations

WACL is proposed, a hierarchical framework that describes each whole-arm contact task with three robot-agnostic representations and hands them to a quasi-static surface-contact optimizer: semantic keypoints that summarize the scene, a reference contact trajectory that specifies where and how the arm presses on the obje...

Bo-Hao Huang, Daniel Seita, Erdem Biyik · 0 citations
#artificial intelligence Preprint Sep 2026

Video2STL: Grounding VLM-Generated Temporal Specifications for Robot Learning

Video2STL is presented, a framework that converts observation-only videos into parametric Signal Temporal Logic (STL) specifications and uses the resulting formal representation for robot learning, and supports cross-embodiment transfer from human or animal videos to robot control.

Merve Atasever, Keyan Azbijari, Cagan Bakirci et al. · 0 citations

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