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Wei-Shi Zheng

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Preprint Sep 2026

Praxis: Distilling Physical Interaction Priors from Egocentric Videos for Generalizable Whole-Body Manipulation

Mobile humanoid manipulation requires both reaching a usable workspace and preserving precise hand-object interactions as object poses and contact conditions change. Learning these behaviors from limited task-specific data remains challenging. To bridge this gap, we introduce Praxis, a whole-body manipulation framework...

Shu-Liang He, Rui-Yang Xu, Bo Yue et al. · 0 citations
Preprint Aug 2026

RoboSynChallenge: Mastering Real-World Dexterity via Generalizing Synthesized Manipulation Skills

The RoboSynChallenge competition introduces a unified benchmark to evaluate and advance the generalizability of manipulation policies across a spectrum of tasks, environments, and difficulty levels and aims to foster the development of broadly capable, data-efficient, and adaptable manipulation systems, thereby paving...

Runyi Zhao, Rui-Han Wu, Cheng-Kun Li et al. · 0 citations
Open access Jul 2026

A Closed-Loop Multi-Agent Framework for Robust Multi-Robot Manipulation

This work proposes a hierarchical closed-loop agentic LLM-based framework to ensure robust multi-robot manipulation and achieves superior success rates, ensures robust adaptability ranging from single to cross workspace manipulation, and offers a generalizable approach for diverse manipulation tasks.

Yi-Xiang He, Lan Wei, Haoming Cen et al. · 0 citations

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