Progress, challenges and trends on vision sensing technologies in automatic/intelligent robotic welding: State-of-the-art review

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

Robotics and Computer-integrated Manufacturing Pub Date : 2024-03-27 DOI:10.1016/j.rcim.2024.102767

Qiang Guo , Zi Yang , Jinting Xu , Yan Jiang , Wenbo Wang , Zonglin Liu , Weisen Zhao , Yuwen Sun

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引用次数: 0

Abstract

Welding is a method of realizing material connections, and the development of modern sensing technology is pushing this traditional process towards automation and intelligence. Among many sensing methods, visual sensing stands out with its advantages of non-contact, fast response and economic benefits, etc. This paper provides a comprehensive review of visualization methods in the context of specific welding processes in the following five aspects. The problem of IWP location is summarized from two directions of active and passive vision. Weld seam identification and tracking methods are discussed in detail based on the morphological characteristics of the weld seam. The feasibility of different weld path planning methods is analyzed based on the point cloud information and the composite vision information. Two types of monitoring means based on infrared sensing and visible light sensing are summarized taking into account the thermal and morphological characteristics of the weld pool, and welding defect detection technology is summarized by comparing the intelligent detection algorithms and the traditional detection algorithms. Finally, by combining the existing developments in computer technology, composite sensing technology, machine learning technology, and multi-robot control technology, the article concludes with a summary and trends in the development of automated welding technologies.

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自动/智能机器人焊接中视觉传感技术的进展、挑战和趋势：最新进展回顾

焊接是实现材料连接的一种方法，现代传感技术的发展正推动这一传统工艺向自动化和智能化方向发展。在众多传感方法中，视觉传感以其非接触、反应快、经济实惠等优势脱颖而出。本文结合具体的焊接工艺，从以下五个方面对可视化方法进行了全面评述。从主动视觉和被动视觉两个方向总结了 IWP 定位问题。根据焊缝的形态特征，详细讨论了焊缝识别和跟踪方法。基于点云信息和复合视觉信息，分析了不同焊接路径规划方法的可行性。结合焊池的热和形态特征，总结了基于红外传感和可见光传感的两种监测手段，并通过比较智能检测算法和传统检测算法，总结了焊接缺陷检测技术。最后，结合计算机技术、复合传感技术、机器学习技术和多机器人控制技术的现有发展，文章总结了自动化焊接技术的发展和趋势。

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.