Design synthesis, modeling, control strategies, and fabrication methods of compliant grippers for micromanipulation and micromanipulator: A comprehensive review

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

Robotics and Computer-integrated Manufacturing Pub Date : 2024-11-02 DOI:10.1016/j.rcim.2024.102893

Hieu Giang Le , Nhat Linh Ho , Thanh-Phong Dao

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引用次数: 0

Abstract

In robotic and automation industry, micromanipulation and micromanipulator have recognized significant advancements due to they are involved in handling of micro-sized parts from a few to hundreds of micrometers. In order to perform such precise grasping tasks, compliant grippers have been increasingly developed, and they have critically significant contributions in the high precision micromanipulation and micromanipulator. This article aims to present a comprehensive review on the state-of-the-art development of compliant grippers. This review focuses on design synthesis, modeling methods, control strategies, and fabrication technologies for compliant grippers. Each section is deeply analyzed and discussed. This paper identifies ongoing challenges and outlines future prospects for developing compliant grippers. The achieved results of this review can provide and inspire helpful insights in ultra-high precision micromanipulation and micromanipulator.

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用于微操作和微机械手的顺应式机械手的设计合成、建模、控制策略和制造方法：全面综述

在机器人和自动化行业中，微机械和微机械手因其涉及处理从几微米到几百微米的微小零件而取得了长足的进步。为了完成如此精确的抓取任务，顺应式机械手得到了越来越多的开发，它们在高精度微机械和微机械手领域做出了重要贡献。本文旨在对顺应式机械手的最新发展进行全面综述。综述的重点是顺应式机械手的设计合成、建模方法、控制策略和制造技术。每个部分都进行了深入分析和讨论。本文指出了当前面临的挑战，并概述了顺应式机械手的未来发展前景。本综述所取得的成果可为超高精度微机械和微机械手提供有益的启发。

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.