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Ying-Jie Xu

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#machine learning Review Sep 2026

In-Context Learning for Robots: Methods and Applications

General-purpose robots must infer what a new task requires and translate that understanding into appropriate physical action. In-context learning (ICL) for robots supports this process by using demonstrations and interaction to direct existing competence with neural parameters held fixed during deployment. We organize...

Hao-Jian Huang, Ze-Xi Li, Ju-Hao Guo et al. · 0 citations
#artificial intelligence Review Sep 2026

World Action Agent: Harnessing VLMs for Robot Manipulation via World Action Rehearsal

World Action Agent is presented, a multi-agent harness through which VLMs pilot robots with basic tools, making every decision within a visual action workspace, outperforming end-to-end VLAs, code-as-policy agents, and a visual-harness baseline with the same backbone.

Ye-Hang Zhang, Hao-Jian Huang, Yi-Fan Chang et al. · 0 citations

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