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Gao-Tian Wang

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Preprint Sep 2026

RoboTok: A Scalable Data Engine for Internet Demonstration Video Retrieval and Dexterous Manipulation Learning

Robot learning increasingly depends on broad and diverse demonstrations, yet collecting robot data remains expensive and difficult to scale across the wide range of real-world tasks. To address this bottleneck, we introduce RoboTok, a scalable data engine that uses a query human manipulation video to retrieve manipulat...

Howard H. Qian, Yi-Ting Chen, Yun-Fei Xie et al. · 0 citations
Review Aug 2026

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms

A role-of-learning taxonomy is proposed that categorizes existing methods according to how learning participates in the planning pipeline, including direct policy learning, learning-augmented classical planning, hybrid planning, and training enhancement methods.

Zong-Yuan Shen, Shalabh Gupta, Shan-Cheng Zhao et al. · 1 citation

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