Dexterous hand towards intelligent manufacturing: A review of technologies, trends, and potential applications

IF 9.1 1区计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Robotics and Computer-integrated Manufacturing Pub Date : 2025-04-01 DOI:10.1016/j.rcim.2025.103021

Jiexin Zhang, Huan Zhao, Kuangda Chen, Guanbo Fei, Xiangfei Li, Yiwei Wang, Zeyuan Yang, Shengwei Zheng, Shiqi Liu, Han Ding

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引用次数: 0

Abstract

Multi-fingered dexterous hands hold significant potential for addressing manipulation tasks in intelligent manufacturing, owing to their inherent anthropomorphic flexibility and rich perceptual capabilities. However, the functionality of dexterous hands in intelligent manufacturing remains unclear due to current technological limitations. This paper provides a review of the current research status of dexterous hands for manipulation tasks, with a specific focus on key technologies related to structure, perception, grasping, and manipulation skills. Furthermore, this review also highlights potential applications of dexterous hands in intelligent manufacturing, including manufacturing in narrow spaces, bin-picking, and in-situ manufacturing. We also discuss the research challenges for the wide adoption of dexterous hands. This review offers a comprehensive analysis of dexterous hands from a manufacturing perspective, contributing to future technological breakthroughs and the advancement of new-generation intelligent manufacturing.

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面向智能制造的灵巧手：技术、趋势和潜在应用综述

多指灵巧手由于其固有的拟人灵活性和丰富的感知能力，在解决智能制造中的操作任务方面具有重要的潜力。然而，由于目前的技术限制，灵巧手在智能制造中的功能仍然不清楚。本文综述了用于操作任务的灵巧手的研究现状，重点介绍了灵巧手的结构、感知、抓握和操作技能等关键技术。此外，本文还重点介绍了灵巧手在智能制造中的潜在应用，包括狭窄空间制造、拾取垃圾箱和原位制造。我们还讨论了广泛采用灵巧手所面临的研究挑战。本文将从制造的角度对灵巧手进行全面的分析，为未来的技术突破和新一代智能制造的推进做出贡献。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Robotics and Computer-integrated Manufacturing 工程技术-工程：制造

CiteScore

24.10

自引率

13.50%

发文量

160

审稿时长

50 days

期刊介绍： The journal, Robotics and Computer-Integrated Manufacturing, focuses on sharing research applications that contribute to the development of new or enhanced robotics, manufacturing technologies, and innovative manufacturing strategies that are relevant to industry. Papers that combine theory and experimental validation are preferred, while review papers on current robotics and manufacturing issues are also considered. However, papers on traditional machining processes, modeling and simulation, supply chain management, and resource optimization are generally not within the scope of the journal, as there are more appropriate journals for these topics. Similarly, papers that are overly theoretical or mathematical will be directed to other suitable journals. The journal welcomes original papers in areas such as industrial robotics, human-robot collaboration in manufacturing, cloud-based manufacturing, cyber-physical production systems, big data analytics in manufacturing, smart mechatronics, machine learning, adaptive and sustainable manufacturing, and other fields involving unique manufacturing technologies.