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Zekai Wang

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#artificial intelligence Preprint Sep 2026

DexTacWAM: A Visuo-Tactile World-Action Model for Dexterous Manipulation

Dexterous manipulation depends on contact dynamics that are often only partially observable from vision. Recent World-Action Models (WAMs) couple predictive video world modeling with action generation, but remain largely vision-centric and therefore cannot directly model these contact dynamics. We present DexTacWAM, a...

Hao-Ran Yuan, Ze-Kai Wang, Boning Shao et al. · 0 citations
Review Open access Jul 2026

Exploring Large Language Model‐Based Intelligent Agents: Definitions, Methods, and Prospects

An organizing framework for understanding LLM‐based agents is established, systematically deconstructing both single‐agent and multi‐agent systems into their core components, and the architectural principles and key mechanisms that underpin their intelligence are analyzed.

Yuheng Cheng, Ceyao Zhang, Zhengwen Zhang et al. · 2 citations

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