几何模型未知物体轮廓跟踪中基于图像的视觉伺服结构的实现

Wei-Che Chang, M. Cheng, Hong-Jin Tsai
{"title":"几何模型未知物体轮廓跟踪中基于图像的视觉伺服结构的实现","authors":"Wei-Che Chang, M. Cheng, Hong-Jin Tsai","doi":"10.1109/ICCAS.2013.6704089","DOIUrl":null,"url":null,"abstract":"Mechanical cutting is very important in many industrial applications. Since mechanical cutting often involves contour following, generally, prior trajectory planning is inevitable. However, in some applications the geometric model of the object for cutting is not available. One possible approach to circumventing this difficulty is to employ a visual servoing approach. As a result, in this paper, an eye-to-hand camera mounted on the ceiling is used to obtain the shape information of the object. Moreover, PH splines are designed to represent the obtained object shape. Based on the obtained PH splines, an interpolator is developed to generate the desired feature command for the Image-Based Visual Servoing (IBVS) structure. Another eye-to-hand camera is placed in a position that can have a full view of the object for cutting so as to provide vision feedback for the IBVS structure. Finally, contouring following experiments of several objects with arbitrary shapes have been conducted to validate the effectiveness of the proposed approach.","PeriodicalId":415263,"journal":{"name":"2013 13th International Conference on Control, Automation and Systems (ICCAS 2013)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Implementation of an Image-Based Visual Servoing structure in contour following of objects with unknown geometric models\",\"authors\":\"Wei-Che Chang, M. Cheng, Hong-Jin Tsai\",\"doi\":\"10.1109/ICCAS.2013.6704089\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mechanical cutting is very important in many industrial applications. Since mechanical cutting often involves contour following, generally, prior trajectory planning is inevitable. However, in some applications the geometric model of the object for cutting is not available. One possible approach to circumventing this difficulty is to employ a visual servoing approach. As a result, in this paper, an eye-to-hand camera mounted on the ceiling is used to obtain the shape information of the object. Moreover, PH splines are designed to represent the obtained object shape. Based on the obtained PH splines, an interpolator is developed to generate the desired feature command for the Image-Based Visual Servoing (IBVS) structure. Another eye-to-hand camera is placed in a position that can have a full view of the object for cutting so as to provide vision feedback for the IBVS structure. Finally, contouring following experiments of several objects with arbitrary shapes have been conducted to validate the effectiveness of the proposed approach.\",\"PeriodicalId\":415263,\"journal\":{\"name\":\"2013 13th International Conference on Control, Automation and Systems (ICCAS 2013)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 13th International Conference on Control, Automation and Systems (ICCAS 2013)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCAS.2013.6704089\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 13th International Conference on Control, Automation and Systems (ICCAS 2013)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAS.2013.6704089","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

机械切割在许多工业应用中是非常重要的。由于机械切削常常涉及到轮廓跟踪,一般来说,事先的轨迹规划是不可避免的。然而,在某些应用中,切割对象的几何模型是不可用的。解决这一困难的一种可能方法是采用视觉伺服方法。因此,本文采用安装在天花板上的眼对手摄像头来获取物体的形状信息。此外,还设计了PH样条来表示所获得的物体形状。基于得到的PH样条,开发了一种插值器,用于生成图像视觉伺服(IBVS)结构所需的特征命令。另一个眼对手摄像头放置在一个可以看到被切割物体的位置,为IBVS结构提供视觉反馈。最后,对多个具有任意形状的物体进行了轮廓跟踪实验,验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of an Image-Based Visual Servoing structure in contour following of objects with unknown geometric models
Mechanical cutting is very important in many industrial applications. Since mechanical cutting often involves contour following, generally, prior trajectory planning is inevitable. However, in some applications the geometric model of the object for cutting is not available. One possible approach to circumventing this difficulty is to employ a visual servoing approach. As a result, in this paper, an eye-to-hand camera mounted on the ceiling is used to obtain the shape information of the object. Moreover, PH splines are designed to represent the obtained object shape. Based on the obtained PH splines, an interpolator is developed to generate the desired feature command for the Image-Based Visual Servoing (IBVS) structure. Another eye-to-hand camera is placed in a position that can have a full view of the object for cutting so as to provide vision feedback for the IBVS structure. Finally, contouring following experiments of several objects with arbitrary shapes have been conducted to validate the effectiveness of the proposed approach.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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