一种新的肌电手欠驱动机构分类方法

M. Mariappan, S. M. M. Jan, M. Iftikhar
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引用次数: 3

摘要

欠驱动的概念使得不需要使用复杂的控制系统或大量的致动器,就可以创造出自动适应被抓物体形状的机器人手。在欠驱动假肢中,根据所采用的控制策略,可以获得越来越多的自由度,从而使假肢装置更加通用和易于控制。尽管研究人员在欠驱动假手方面做了大量的工作,但没有人给出电机(或驱动器)数量与自由度(dof)数量之间的任何关系。这个被称为“UAM系数”(CoUAM)的新概念是“电机数量与dof数量之间的比率”。在回顾各种已知研究的基础上,对随机选取的假肢手的CoUAM进行了单独计算,并对其优缺点、成本、重量、外观、易控制性和功能进行了分析,使该方法更加客观,对未来的研究人员更有帮助。因此,本文的目标是评估不同类型的假体的UAM系数(CoUAM),然后将其划分为红色,绿色和黄色区域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel Approach for Classification of Underactuated Mechanism in Myoelectric Hand
Concept of underactuation makes it possible to create such robotic hands that automatically adapt to the shape of the grasped object without using a complex control system or a large number of actuators. In underactuated hand prostheses, depending upon control strategy used, one can get more and more degree of freedoms (DOFs) to make its prosthetic device more versatile and easy to control. In spite of all the great work done by the researchers on underactuated prosthetic hands, no one has given any relationship between the number of motors (or actuators) and the number of degree of freedoms (DOFs). This novel concept named as “Coefficient of UAM” (CoUAM) is “the ratio between numbers of motors to the number of DOFs”. By reviewing various known studies, CoUAM of randomly selected prosthetic hands is calculated separately and analyzed merits/demerits, cost, weight, appearance, ease of controllability and their functionality to make this approach more objective and useful for the future researchers. Hence target of this paper is to assess a Coefficient of UAM (CoUAM) of different types of prostheses available and then classify them into red, green and yellow zones.
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