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Preprint Sep 2026

DexTaG: Tactile-as-Guidance in Reinforcement Learning for Dexterous Manipulation

Glove-based motion capture is emerging as a scalable approach to collecting dexterous-hand demonstration data. However, due to the kinematic gap between the human and robot hand, the recorded human motions cannot be executed directly on the robot, especially for contact-rich tool-use tasks involving in-hand reorientati...

Han Yang, Yian Wang, Yun-Long Song et al. · 0 citations
Preprint Sep 2026

IM-ENGINE: Image Editing for Embodied Data Generation

Learning-based manipulation requires supervision that is both semantically meaningful and physically executable, but current data pipelines often provide only one of these properties. Human demonstrations capture intent but are costly to collect and constrained by the human-robot embodiment gap, while simulation can sc...

Yian Wang, Jun-Yi Cao, Xiao-Wen Qiu et al. · 0 citations

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