Zong-Yi Wang, Fuqiang Liu, Xing-Jian Wang, Yu-ren Ji
{"title":"An ear plate reinforced ring welding robot system with intelligent recognition function","authors":"Zong-Yi Wang, Fuqiang Liu, Xing-Jian Wang, Yu-ren Ji","doi":"10.1109/ARSO.2016.7736283","DOIUrl":null,"url":null,"abstract":"Large equipment factory and shipyards have lots of ear plate reinforced rings to be welded, which is time consuming and labor intensive. This paper is an introduction to a new intelligent framework for robotic welding based on an ear plate reinforced ring automatic welding robot system. Intelligent recognition, real-time tracking and shortest path planning have been innovatively integrated into a robotic intelligent framework. This type of experimentation has not been conducted previously in the area of industrial robotics. Detailed algorithms for these procedures are presented here, along with the results of the final experiment.","PeriodicalId":403924,"journal":{"name":"2016 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ARSO.2016.7736283","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
Large equipment factory and shipyards have lots of ear plate reinforced rings to be welded, which is time consuming and labor intensive. This paper is an introduction to a new intelligent framework for robotic welding based on an ear plate reinforced ring automatic welding robot system. Intelligent recognition, real-time tracking and shortest path planning have been innovatively integrated into a robotic intelligent framework. This type of experimentation has not been conducted previously in the area of industrial robotics. Detailed algorithms for these procedures are presented here, along with the results of the final experiment.