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Min-Zhao Zhu

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#artificial intelligence Preprint Oct 2026

HWAM: Humanoid World Action Model With Joint State--Action Generation

Humanoid robots are a promising platform for general-purpose manipulation. Recent Vision-Language-Action (VLA) policies learn actions directly from multimodal observations, while World Action Models (WAMs) further incorporate future visual prediction to improve action generation. However, in hierarchical humanoid syste...

Yan Yang, Ji-Kun Rong, Min-Zhao Zhu et al. · 0 citations
#artificial intelligence Preprint Sep 2026

FluxVLA Engine: A One-Stop VLA Engineering Platform for Embodied Intelligence

FluxVLA Engine is presented, an open, configuration-driven platform that turns heterogeneous embodied-policy components into a reproducible data-to-deployment workflow and targets the engineering bottlenecks separating promising embodied-learning algorithms from reproducible evaluation and dependable deployment.

Yin-Hao Li, Wei-Xin Mao, Zi-Han Lan et al. · 3 citations

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