日本フィジカルAI新聞

世界のフィジカルAIを、日本語で。

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arXiv:2011.01428

Leaf-like Origami with Bistability for Self-Adaptive Grasping Motions

Leaf-like Origami with Bistability for Self-Adaptive Grasping Motions

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著者: Hiromi Yasuda, Kyle Johnson, Vicente Arroyos, Koshiro Yamaguchi, Jordan R. Raney, Jinkyu Yang

分類: cs.RO

原文アブストラクト

The leaf-like origami structure was inspired by geometric patterns found in nature, exhibiting unique transitions between open and closed shapes. With a bistable energy landscape, leaf-like origami is able to replicate the autonomous grasping of objects observed in biological systems like the Venus flytrap. We show uniform grasping motions of the leaf-like origami, as well as various non-uniform grasping motions which arise from its multi-transformable nature. Grasping motions can be triggered with high tunability due to the structure's bistable energy landscape. We demonstrate the self-adaptive grasping motion by dropping a target object onto our paper prototype, which does not require an external power source to retain the capture of the object. We also explore the non-uniform grasping motions of the leaf-like structure by selectively controlling the creases, which reveals various unique grasping configurations that can be exploited for versatile, autonomous, and self-adaptive robotic operations.