Yinshui He, Hao Zhou, Junwei Wang, Di Wu, Shanben Chen
{"title":"Weld seam profile extraction of T-joints based on orientation saliency for path planning and seam tracking","authors":"Yinshui He, Hao Zhou, Junwei Wang, Di Wu, Shanben Chen","doi":"10.1109/ARSO.2016.7736266","DOIUrl":null,"url":null,"abstract":"In the development of intelligentized robotic welding, weld seam profile extraction is a prerequisite in thick plate welding for path planning and seam tracking. This paper presents a robotic welding system to implement autonomous welding for T-joints, where a novel vision sensor is employed to capture weld seam profiles and weld pools simultaneously in the same frame. It exploits lasers to profile the T-joint. This paper concentrates on accurately extracting the seam profile from the background of the weld pool. An effective procedure of extracting the weld seam profile of the T-joint based on the orientation saliency of the laser stripe is proposed. Experimental results showed the effectiveness of the proposed method.","PeriodicalId":403924,"journal":{"name":"2016 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","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.2016.7736266","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
In the development of intelligentized robotic welding, weld seam profile extraction is a prerequisite in thick plate welding for path planning and seam tracking. This paper presents a robotic welding system to implement autonomous welding for T-joints, where a novel vision sensor is employed to capture weld seam profiles and weld pools simultaneously in the same frame. It exploits lasers to profile the T-joint. This paper concentrates on accurately extracting the seam profile from the background of the weld pool. An effective procedure of extracting the weld seam profile of the T-joint based on the orientation saliency of the laser stripe is proposed. Experimental results showed the effectiveness of the proposed method.