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MANIPULATION

Contact Mode Guided Motion Planning for Quasidynamic Dexterous Manipulation in 3D

Xianyi Cheng, Eric Huang, Yifan Hou, Matthew T. Mason

发表年份
2022
引用次数
34

摘要

This paper presents Contact Mode Guided Manipulation Planning (CMGMP) for 3D quasistatic and quasi-dynamic rigid body motion planning in dexterous manipulation. The CMGMP algorithm generates hybrid motion plans including both continuous state transitions and discrete contact mode switches, without the need for pre-specified contact sequences or pre-designed motion primitives. The key idea is to use automatically enumerated contact modes of environment-object contacts to guide the tree expansions during the search. Contact modes automatically synthesize manipulation primitives, while the sampling-based planning framework sequences those primitives into a coherent plan. We test our algorithm on fourteen 3D manipulation tasks, and validate our models by executing some plans open-loop on a real robot-manipulator system <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> The video is available at https://youtu.be/JuLlliG3vGc.

关键词

Motion (physics)Computer scienceKey (lock)Object (grammar)Plan (archaeology)Mode (computer interface)Motion planningRobotArtificial intelligenceComputer vision

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