灵巧的手:人类、假肢和机器人

IF 0.7 4区 计算机科学 Q4 COMPUTER SCIENCE, CYBERNETICS
L. Jones
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引用次数: 54

摘要

在提供一组性能特征的背景下,对假肢和灵巧的机器人手进行评估,回顾了人手的感觉和运动能力。描述了涉及处理触觉、热和本体感觉(力和运动)信息的传感器,以及它们的空间密度、灵敏度和分辨率的细节。关于人类手部感官能力的丰富数据与关于运动表现的等效数据库并不匹配。由于许多训练有素的手工技能都是在一定条件下进行的,因此对手工灵巧性进行量化的尝试遇到了巨大的技术困难。技术上的限制不仅影响了人类手动性能的量化,也影响了假肢和机械手的发展。目前使用的大多数假肢手都是简单的抓取装置,赋予这些手自然的触觉仍然是一个挑战。一些灵巧的机器人手作为研究工具存在,尽管其中一些系统在运动领域可以胜过它们的人类对手,但它们作为感觉处理系统仍然非常有限。正是在后一个领域,来自人类抓取和处理对象信息的研究的信息可能做出最大的贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dextrous Hands: Human, Prosthetic, and Robotic
The sensory and motor capacities of the human hand are reviewed in the context of providing a set of performance characteristics against which prosthetic and dextrous robot hands can be evaluated. The sensors involved in processing tactile, thermal, and proprioceptive (force and movement) information are described, together with details on their spatial densities, sensitivity, and resolution. The wealth of data on the human hand's sensory capacities is not matched by an equivalent database on motor performance. Attempts at quantifying manual dexterity have met with formidable technological difficulties due to the conditions under which many highly trained manual skills are performed. Limitations in technology have affected not only the quantifying of human manual performance but also the development of prosthetic and robotic hands. Most prosthetic hands in use at present are simple grasping devices, and imparting a natural sense of touch to these hands remains a challenge. Several dextrous robot hands exist as research tools and even though some of these systems can outperform their human counterparts in the motor domain, they are still very limited as sensory processing systems. It is in this latter area that information from studies of human grasping and processing of object information may make the greatest contribution.
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来源期刊
CiteScore
2.20
自引率
0.00%
发文量
8
审稿时长
>12 weeks
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