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arXiv Robotics — research abstracts· Keqiang Ren, Xuecheng Ye, Hanyu Liu, Zhihua Wang, Tao Jian, Yunsheng Ma, Jiayi Wen, Xinran Li, Zhigong Song·· 11 hours agoEditorial score65

RoboSpan: Learning Modular Coordination Policies for High-DoF Whole-Body Mobile Manipulation with Teleoperation

RoboSpan: Learning Modular Coordination Policies for High-DoF Whole-Body Mobile Manipulation with Teleoperation

Summary

This research introduces RoboSpan, a high-DoF whole-body teleoperation platform, and the Hierarchical Modular Framework (HMF) for learning modular coordination policies. The HMF decouples the 29-DoF action space into hand manipulation, arm pose adjustment, and mobile-base configuration branches, using the Coordinated Modular Embodied Transformer (COMET) for dynamic information exchange. A full-palm 2D tactile representation enables cross-module tactile empowerment. Experiments on a physical 29-DoF robot show a 20% higher task success rate compared to mainstream baselines in long-horizon whole-body tasks.

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Source:arXiv Robotics — research abstracts · arxiv.org

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