Yinshui He, Hao Zhou, Junwei Wang, Di Wu, Shanben Chen
{"title":"基于方向显著性的t型接头焊缝轮廓提取,用于路径规划和焊缝跟踪","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":"{\"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}","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}
Weld seam profile extraction of T-joints based on orientation saliency for path planning and seam tracking
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.