Optimizing the performance of serial robots for milling tasks: A review

IF 11.4 1区计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Robotics and Computer-integrated Manufacturing Pub Date : 2025-08-01 Epub Date: 2025-02-14 DOI:10.1016/j.rcim.2025.102977

Yuhang Gao, Tianyang Qiu, Ci Song, Senjie Ma, Zhibing Liu, Zhiqiang Liang, Xibin Wang

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Abstract

Serial industrial robots, as a great potential alternative to computer numerical control (CNC) machine tools, have attracted numerous attention, relying on their large workspace and low cost. However, a detailed and specific guidance is still missed to solve the problem of poor milling performance caused by their weak stiffness when facing milling tasks with high material removal rates (MRR). Combined with the status information, this paper systematically and comprehensively reviews the potential issues and their corresponding solutions from the aspects of posture and milling process, thus achieving better machining quality, ensuring machining stability, continuity in path, and preventing the occurrence of failures. Furthermore, future research hotspots and directions are proposed by considering the current research findings and the increasingly intelligent trends exhibited by the continuous development of the manufacturing industry.

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优化铣削任务系列机器人的性能：综述

串行工业机器人由于其工作空间大、成本低等优点，作为数控机床的潜在替代品，受到了人们的广泛关注。然而，在面对高材料去除率（MRR）的铣削任务时，由于其刚度弱而导致铣削性能不佳的问题，仍然缺乏详细和具体的指导。结合现状信息，从姿态、铣削工艺等方面系统、全面地综述了潜在问题及其解决方案，从而达到更好的加工质量，保证加工的稳定性、路径的连续性，防止故障的发生。结合目前的研究成果和制造业不断发展所表现出的日益智能化的趋势，提出了未来的研究热点和方向。

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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.