灵巧手类人机器人操作综述

IF 1.2 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Suhas Kadalagere Sampath, Ning Wang, Hao Wu, Chenguang Yang
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引用次数: 2

摘要

近年来,与传统的抓取器相比,基于人手的机械手或灵巧手由于其处理软材料的巨大能力而受到关注。在早期,开发一种接近人类的手模型是一项不可能完成的任务,但随着技术的进步,用三指、四指或五指机械手制作的灵巧手已经被开发出来,以模仿人类的手的本性。然而,迄今为止,人类对灵巧双手的操作仍然是一个挑战。因此,这篇综述的重点是(a)灵巧手发展的历史和动机,(b)现有多指手的简要概述,以及(c)基于学习的方法,如操纵灵巧手的传统和数据驱动的学习方法。此外,它还讨论了在多指或灵巧手的操作方面面临的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Review on human-like robot manipulation using dexterous hands

Review on human-like robot manipulation using dexterous hands

In recent years, human hand-based robotic hands or dexterous hands have gained attention due to their enormous capabilities of handling soft materials compared to traditional grippers. Back in the earlier days, the development of a hand model close to that of a human was an impossible task but with the advancements made in technology, dexterous hands with three, four or five-fingered robotic hands have been developed to mimic human hand nature. However, human-like manipulation of dexterous hands to this date remains a challenge. Thus, this review focuses on (a) the history and motivation behind the development of dexterous hands, (b) a brief overview of the available multi-fingered hands, and (c) learning-based methods such as traditional and data-driven learning methods for manipulating dexterous hands. Additionally, it discusses the challenges faced in terms of the manipulation of multi-fingered or dexterous hands.

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来源期刊
Cognitive Computation and Systems
Cognitive Computation and Systems Computer Science-Computer Science Applications
CiteScore
2.50
自引率
0.00%
发文量
39
审稿时长
10 weeks
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