Strategic algorithm for cable wiring using dual arm with compliance control

IF 9.1 1区 计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Robotics and Computer-integrated Manufacturing Pub Date : 2024-12-24 DOI:10.1016/j.rcim.2024.102924
Youngsu Cho , Minsu Cho , Jongwoo Park, Byung-Kil Han, Young Hun Lee, Sung-Hyuk Song, Chanhun Park, Dong Il Park
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Abstract

A variety of electronic products are in daily use to serve a variety of needs. Electronic products require different types of cable harnesses for production. Nowadays, user preferences vary and change quickly. Therefore, a variety of small-volume products are made, and producing various kinds of complex harnesses to satisfy people’s needs is difficult. In robotic automation, the wiring harness assembly process in the manufacturing of deformable objects is challenging. Because of the characteristics of a deformable object, the manufacturing task cannot be standardized. However, relying solely on image sensors is not advisable, due to the challenges involved in recognizing complex cables with image sensors. Additionally, even when cable recognition is possible, it requires too much time. To address these issues, this paper introduces a strategic algorithm for the wiring harness assembly process. The algorithm minimizes the dependence on image sensors by enabling the use of a robotic dual-arm system. The proposed method includes techniques such as cable estimation, frictional models, and trajectory planning in the algorithms. On the basis of these methods, for a provided assembly board, the algorithm outputs a systematic process for wiring harness assembly. Experimental results validate the algorithm, demonstrating its good performance.
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带柔度控制的双臂电缆布线策略算法
各种各样的电子产品在日常使用中服务于各种需求。电子产品需要不同类型的电缆线束进行生产。如今,用户偏好变化很大,变化很快。因此,制作各种小批量产品,生产各种复杂的线束来满足人们的需求是很困难的。在机器人自动化中,可变形物体制造中的线束装配过程具有挑战性。由于可变形物体的特性,制造任务无法标准化。然而,仅仅依靠图像传感器是不可取的,因为使用图像传感器识别复杂电缆所涉及的挑战。此外,即使有线识别是可能的,也需要太多的时间。针对这些问题,本文提出了一种线束装配过程的策略算法。该算法通过启用机器人双臂系统,最大限度地减少了对图像传感器的依赖。该方法在算法中包含了电缆估计、摩擦模型和轨迹规划等技术。在这些方法的基础上,对于所提供的装配板,该算法输出线束装配的系统化过程。实验结果验证了该算法的有效性。
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来源期刊
Robotics and Computer-integrated Manufacturing
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.
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