An Uncalibrated Robotic Weld Tracking System

Jiangtao Yin, Zhang Tao, Y. Guan, Guanfeng Liu
{"title":"An Uncalibrated Robotic Weld Tracking System","authors":"Jiangtao Yin, Zhang Tao, Y. Guan, Guanfeng Liu","doi":"10.1109/ROBIO.2018.8665282","DOIUrl":null,"url":null,"abstract":"To adapt to the operational conditions with a large workpiece scale and changeable working locations in the field of ship welding, a novel uncalibrated robotic weld seam tracking system is proposed in this paper. Unlike a traditional seam tracking system requiring calibration and extraction of the weld seam feature, we directly utilize the luminance of all pixels in the weld seam image as a visual feature, without a robot hand-eye calibration, image processing, or any learning steps. The experiment results prove that our system is suitable for application to not only for a lap weld seam, but also for different types of weld seams without any changes to the algorithm, except for the corresponding desired image of the weld seams.","PeriodicalId":417415,"journal":{"name":"2018 IEEE International Conference on Robotics and Biomimetics (ROBIO)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Robotics and Biomimetics (ROBIO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROBIO.2018.8665282","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

To adapt to the operational conditions with a large workpiece scale and changeable working locations in the field of ship welding, a novel uncalibrated robotic weld seam tracking system is proposed in this paper. Unlike a traditional seam tracking system requiring calibration and extraction of the weld seam feature, we directly utilize the luminance of all pixels in the weld seam image as a visual feature, without a robot hand-eye calibration, image processing, or any learning steps. The experiment results prove that our system is suitable for application to not only for a lap weld seam, but also for different types of weld seams without any changes to the algorithm, except for the corresponding desired image of the weld seams.
一种未经校准的机器人焊接跟踪系统
针对船舶焊接领域中工件规模大、工作位置多变的作业条件,提出了一种新型的无标定机器人焊缝跟踪系统。与传统的焊缝跟踪系统需要校准和提取焊缝特征不同,我们直接利用焊缝图像中所有像素的亮度作为视觉特征,无需机器人手眼校准,图像处理或任何学习步骤。实验结果表明,该系统不仅适用于搭接焊缝,而且在不改变算法的情况下,也适用于不同类型的焊缝,除了焊缝的相应期望图像外。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信