Corrigendum to ’In-situ Elastic Calibration of Robots: Minimally-Invasive Technology, Cover-Based Pose Search and Aerospace Case Studies’, Robotics and Computer-Integrated Manufacturing 89 (2024), 102743.

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

Robotics and Computer-integrated Manufacturing Pub Date : 2024-05-06 DOI:10.1016/j.rcim.2024.102773

Bruno Monsarrat , Julien-Mathieu Audet , Yves Fortin , Gabriel Côté , Michael Vistein , Lars Brandt , Ahmad Sadek , Florian Krebs

引用次数: 0

Abstract

The authors provide a corrigendum for two equations of their published article [1]. These corrections do not impact the general kinetostatic model, elastic calibration algorithms, case studies’ results and conclusions presented in the article.

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机器人现场弹性校准：微创技术、基于覆盖的姿势搜索和航空航天案例研究》，《机器人与计算机集成制造》89 (2024)，102743。

作者对已发表文章[1]中的两个方程式进行了更正。这些更正并不影响文章中提出的一般动静态模型、弹性校准算法、案例研究结果和结论。

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.