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Wei Zhan

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#artificial intelligence Preprint Sep 2026

X-Reset: Scaling Object-Centric Reinforcement Learning via Cross-Embodiment Resets

X-Reset is proposed, a framework that resolves exploration with human hand-object demonstrations of RL from scratch and scales with the number of training objects, generalizes to unseen objects, can learn from imperfect hand-pose estimates, and transfers behaviors zero-shot from sim-to-real.

Prithwish Dan, Chen-Yang Ma, Wei Zhan · 0 citations
Preprint Aug 2026

AdaDexGrasp: Adaptive Dexterous Grasping via 3D Visuo-Tactile Representation Fusion

This work proposes a unified visuo-tactile-fusion grasping framework that integrates grasp generation, feasibility prediction, and adaptive refinement and introduces an efficient visuo-tactile representation that tightly fuses object geometry with tactile feedback by associating tactile signals with finger identities.

Xi-Rui Liang, Jia-Qi Liang, Jing-Kai Xu et al. · 0 citations

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