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通过柔软指尖与坚硬指甲之间的相互作用提高精确抓握性能

Improvement of Precision Grasping Performance by Interaction Between Soft Finger Pulp and Hard Nail.

作者信息

Kumagai Ayane, Obata Yoshinobu, Yabuki Yoshiko, Jiang Yinlai, Yokoi Hiroshi, Togo Shunta

机构信息

Department of Mechanical and Intelligent System Engineering, Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, Japan.

出版信息

Soft Robot. 2023 Apr;10(2):345-353. doi: 10.1089/soro.2021.0231. Epub 2023 Feb 14.

Abstract

In this study, we investigated the effect of the presence or absence of fingernails on precision grasping using artificial anthropomimetic fingers. We hypothesized that fingernails improve precision grasping performance by increasing the friction coefficient while suppressing fingertip deformation. To test our hypothesis, we developed artificial fingertips, each composed of bone, nail, skin, and soft tissue, and fabricated three types of artificial fingers with different skin softness grades and artificial fingers without nails as the control condition. Pullout experiments of cylindrical objects and T-shaped blocks were conducted using the developed artificial fingertips with and without nails, and the magnitude of the holding force was compared. The nail contributed to object grasping stability because the magnitude of the holding force was significantly increased by the presence of the nail in the artificial fingertip with soft skin. The rate of increase in the magnitude of the holding force of the T-shaped block was more significant (3.10 times maximum) compared with the cylindrical object (1.08 times maximum) because the finger pulp deformation was suppressed by the nail, and the form closure, that is, geometric constraint, was formed for the grasping object. The results of this study show that soft fingertips and hard nails can significantly improve the grasping performance of soft robotic hands. And these results suggest that the human nail improves precision grasping performance by forming geometric constraints on the grasped object, suppressing finger pulp deformation.

摘要

在本研究中,我们使用人工仿生手指研究了有无指甲对精确抓握的影响。我们假设指甲通过增加摩擦系数同时抑制指尖变形来提高精确抓握性能。为了验证我们的假设,我们开发了由骨骼、指甲、皮肤和软组织组成的人工指尖,并制造了三种具有不同皮肤柔软度等级的人工手指以及没有指甲的人工手指作为对照条件。使用所开发的有指甲和无指甲的人工指尖对圆柱形物体和T形块进行拔出实验,并比较握持力的大小。指甲有助于物体抓握的稳定性,因为在皮肤柔软的人工指尖中,指甲的存在显著增加了握持力的大小。与圆柱形物体(最大增加1.08倍)相比,T形块握持力大小的增加率更显著(最大增加3.10倍),因为指甲抑制了指腹变形,并且对抓握物体形成了形状封闭,即几何约束。本研究结果表明,柔软的指尖和坚硬的指甲可以显著提高软机器人手的抓握性能。这些结果表明,人类指甲通过对被抓握物体形成几何约束、抑制指腹变形来提高精确抓握性能。

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