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マニピュレーションarXiv:1904.03754

接触から機能的な多指把持を合成するContactGrasp

ContactGrasp: Functional Multi-finger Grasp Synthesis from Contact

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物体表面の接触情報を入力に、人間の把持デモンストレーションから様々なロボットハンド向けの機能的な把持姿勢を合成するフレームワークを提案した。

著者: Samarth Brahmbhatt, Ankur Handa, James Hays, Dieter Fox

分類: cs.RO, cs.CV

原文アブストラクト

Grasping and manipulating objects is an important human skill. Since most objects are designed to be manipulated by human hands, anthropomorphic hands can enable richer human-robot interaction. Desirable grasps are not only stable, but also functional: they enable post-grasp actions with the object. However, functional grasp synthesis for high degree-of-freedom anthropomorphic hands from object shape alone is challenging because of the large optimization space. We present ContactGrasp, a framework for functional grasp synthesis from object shape and contact on the object surface. Contact can be manually specified or obtained through demonstrations. Our contact representation is object-centric and allows functional grasp synthesis even for hand models different than the one used for demonstration. Using a dataset of contact demonstrations from humans grasping diverse household objects, we synthesize functional grasps for three hand models and two functional intents. The project webpage is https://contactdb.cc.gatech.edu/contactgrasp.html.

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