A generalised system for multi-mobile robot cooperation in smart manufacturing

IF 11.4 1区计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Robotics and Computer-integrated Manufacturing Pub Date : 2025-09-23 DOI:10.1016/j.rcim.2025.103139

Tianwei Zhang , Ning Wang , Yiming Yang , Ziya Wang

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引用次数: 0

Abstract

Since the advent of Industry 4.0, mobile collaborative robot technology has developed rapidly. However, several challenges still hinder the industrial application of mobile collaborative robots. These challenges include human–robot collaboration safety, the complexity of non-standard mobile collaborative task solutions, and the deployment timeliness of heterogeneous robots and mechanical structures. To address these challenges, this paper proposes a general and robust “cloud–edge-terminal-network-intelligence” multi-robot mobile collaboration system. This framework achieves efficient customised solutions by standardising and simplifying robot hardware and software integration. The solution focuses on three key issues: modular design, cloud–edge architecture in advanced manufacturing, and rapid deployment of heterogeneous multi-robots. The paper discusses robot safety and collaborative control issues and provides corresponding technical solutions.

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智能制造中多移动机器人协作的通用系统

自工业4.0时代到来以来，移动协同机器人技术得到了迅速发展。然而，一些挑战仍然阻碍着移动协作机器人的工业应用。这些挑战包括人机协作的安全性、非标准移动协作任务解决方案的复杂性以及异构机器人和机械结构的部署及时性。针对这些挑战，本文提出了一种通用、鲁棒的“云-边缘-终端-网络智能”多机器人移动协作系统。该框架通过标准化和简化机器人硬件和软件集成来实现高效的定制解决方案。该解决方案侧重于三个关键问题：模块化设计、先进制造中的云边缘架构和异构多机器人的快速部署。讨论了机器人的安全和协同控制问题，并提出了相应的技术解决方案。

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.