An analysis of the geometry of light-striping vision systems for feedrate control in robot welding and other industrial processes

IF 2.9 Q2 ROBOTICS Robotics Pub Date : 1987-06-01 DOI:10.1016/0167-8493(87)90004-0
Lynn R. Ziegler, Richard C. Dorf
{"title":"An analysis of the geometry of light-striping vision systems for feedrate control in robot welding and other industrial processes","authors":"Lynn R. Ziegler,&nbsp;Richard C. Dorf","doi":"10.1016/0167-8493(87)90004-0","DOIUrl":null,"url":null,"abstract":"<div><p>Light-stripping, whereby a laser or other source of a stripe of light in conjunction with a single camera can provide three-dimensional information of a scene, can be used to estimate the volume of a seam gap for welding, filling, or gluing robots, and thus provide automated feedrate control. The geometry of light-striping systems is analyzed to yield an efficient method to map the locations of stripe pixels in the image to three-dimensional coordinates. Methods are discussed to determine fill-points by recognizing the pattern produced by seam walls despite noise. Combined with computation of areas and volumes, the steps simplify to an effective algorithm for microprocessor implementation.</p></div>","PeriodicalId":37568,"journal":{"name":"Robotics","volume":"3 2","pages":"Pages 167-173"},"PeriodicalIF":2.9000,"publicationDate":"1987-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0167-8493(87)90004-0","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Robotics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/0167849387900040","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ROBOTICS","Score":null,"Total":0}
引用次数: 0

Abstract

Light-stripping, whereby a laser or other source of a stripe of light in conjunction with a single camera can provide three-dimensional information of a scene, can be used to estimate the volume of a seam gap for welding, filling, or gluing robots, and thus provide automated feedrate control. The geometry of light-striping systems is analyzed to yield an efficient method to map the locations of stripe pixels in the image to three-dimensional coordinates. Methods are discussed to determine fill-points by recognizing the pattern produced by seam walls despite noise. Combined with computation of areas and volumes, the steps simplify to an effective algorithm for microprocessor implementation.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
在机器人焊接和其他工业过程中用于进给速度控制的光条视觉系统的几何分析
光剥离,即激光或其他光源的条纹光与单个摄像机相结合,可以提供一个场景的三维信息,可以用来估计焊接,填充或粘合机器人的接缝间隙的体积,从而提供自动进给速度控制。分析了光条纹系统的几何结构,提出了一种将图像中条纹像素的位置映射到三维坐标的有效方法。讨论了在不受噪声影响的情况下,通过识别煤层壁产生的图样来确定填充点的方法。结合面积和体积的计算,这些步骤简化为一种有效的微处理器实现算法。
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 去求助
来源期刊
Robotics
Robotics Mathematics-Control and Optimization
CiteScore
6.70
自引率
8.10%
发文量
114
审稿时长
11 weeks
期刊介绍: Robotics publishes original papers, technical reports, case studies, review papers and tutorials in all the aspects of robotics. Special Issues devoted to important topics in advanced robotics will be published from time to time. It particularly welcomes those emerging methodologies and techniques which bridge theoretical studies and applications and have significant potential for real-world applications. It provides a forum for information exchange between professionals, academicians and engineers who are working in the area of robotics, helping them to disseminate research findings and to learn from each other’s work. Suitable topics include, but are not limited to: -intelligent robotics, mechatronics, and biomimetics -novel and biologically-inspired robotics -modelling, identification and control of robotic systems -biomedical, rehabilitation and surgical robotics -exoskeletons, prosthetics and artificial organs -AI, neural networks and fuzzy logic in robotics -multimodality human-machine interaction -wireless sensor networks for robot navigation -multi-sensor data fusion and SLAM
期刊最新文献
Evaluation of a Voice-Enabled Autonomous Camera Control System for the da Vinci Surgical Robot NU-Biped-4.5: A Lightweight and Low-Prototyping-Cost Full-Size Bipedal Robot Probability-Based Strategy for a Football Multi-Agent Autonomous Robot System An Enhanced Multi-Sensor Simultaneous Localization and Mapping (SLAM) Framework with Coarse-to-Fine Loop Closure Detection Based on a Tightly Coupled Error State Iterative Kalman Filter Playing Checkers with an Intelligent and Collaborative Robotic System
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1