Author

Shiguang Shan

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Nov 2026

Improving Policy Learning via Language-Guided State Representation in World Models

World models have emerged as powerful technology for facilitating policy learning in robotics by providing predictive representations of environmental dynamics. A crucial component of such models is the internal state representation, which serves as a bridge between observation, decision-making, and future state predic...

Li-Xuan Zhang, Meina Kan, Shiguang Shan et al. · IEEE Robotics and Automation... · 0 citations

#artificial intelligence Preprint Sep 2026

Probe to Act: Elevating Browser-Use Agent via Active Visual Probing

Browser-use agents require seamless alignment between structured web metadata and visual information, while preserving relevant context across long interactions. Existing interfaces often rely on either screenshot-level action prediction or static Set-of-Marks overlays, leaving the model to resolve dense DOM-pixel alig...

Ke-Liang Li, Heng Wang, Chen Hu et al. · 0 citations

Preprint Sep 2026

ViLoMan: Learning Visual-Proprioceptive Whole-Body Loco-Manipulation Skills for Humanoid Robots

Humanoid loco-manipulation requires adaptive whole-body coordination to seamlessly integrate locomotion and physical interaction. Despite recent advances, learning autonomous loco-manipulation remains challenging due to the scarcity of diverse, physically executable robot-object interaction data and the difficulty of l...

Ze-Jie Tian, Rui-Bing Hou, Bin Ma et al. · 0 citations