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基于表面贴装式致动器的可穿戴机器人手套设计

Wearable Robotic Glove Design Using Surface-Mounted Actuators.

作者信息

Park Jaeyoung, Hwang Inchan, Lee Woochan

机构信息

Robotics and Media Institute, Korea Institute of Science and Technology, Seoul, South Korea.

Department of Mechanical Engineering, Seoul National University, Seoul, South Korea.

出版信息

Front Bioeng Biotechnol. 2020 Sep 25;8:548947. doi: 10.3389/fbioe.2020.548947. eCollection 2020.

Abstract

We propose a novel wearable robotic glove or exo-glove design scalable to the variation of the hand kinematics. While most of the traditional robot hand is driven by rotating the joint directly with a rigid body, our exo-glove deforms a robotic finger's skin and, thus, the hand skeleton joints. Multiple tendons woven on the exo-glove's surface can make multi-DOF finger joint motions. We allocated tendons to mimic a hand's intrinsic and extrinsic muscles. Thus, a robotic hand actuated with the exo-glove can perform natural finger motions, including abduction/adduction and flexion/extension of finger joints. Moreover, additional tendons for the thumb enable power grips and the robotic hand's human-like motion. The proposed design approach places all the actuators on the surface without directly actuating any of the hand skeleton's joint. Therefore, a random hand skeleton can work as a robotic hand by putting the wearable robotic glove on it. Thus, the proposed model provides a high degree of freedom on choosing hand skeletons. We expect the aforementioned biomimetic features of our proposed method will benefit not only traditional robotic hands design but also the design of prosthetic hands and robot power-assisted hand glove.

摘要

我们提出了一种新颖的可穿戴机器人手套或外骨骼手套设计,它能够根据手部运动学的变化进行扩展。大多数传统机器人手是通过刚体直接旋转关节来驱动的,而我们的外骨骼手套会使机器人手指的皮肤变形,进而使手部骨骼关节变形。编织在外骨骼手套表面的多条肌腱能够实现多自由度的手指关节运动。我们分配肌腱来模拟手部的固有肌和外在肌。因此,由外骨骼手套驱动的机器人手能够执行自然的手指运动,包括手指关节的外展/内收和屈伸。此外,用于拇指的额外肌腱能够实现强力抓握以及机器人手的类人运动。所提出的设计方法将所有致动器置于表面,而不直接驱动任何手部骨骼关节。因此,通过将可穿戴机器人手套套在任意手部骨骼上,它都能作为机器人手工作。这样,所提出的模型在选择手部骨骼方面提供了高度的自由度。我们期望我们所提出方法的上述仿生特性不仅将有益于传统机器人手的设计,而且也将有益于假肢手和机器人助力手套的设计。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5889/7546395/4163eb30bc66/fbioe-08-548947-g0001.jpg

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