{"title":"双臂自动化制造的错误检测与恢复","authors":"Kyu-Mann Lim, J. Cheong","doi":"10.1109/URAI.2013.6677415","DOIUrl":null,"url":null,"abstract":"Recently, many industrial settings carry out the justified task with robots that try to improve the productivity and quality of product. This paper describes to a method of `Error Detection' and `Error Recovery' using up-to-date sensors. Errors are defined and identified based on standardized types through the status of sen by the robots.","PeriodicalId":431699,"journal":{"name":"2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)","volume":"26 7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Error detection and recovery for automated manufacturing using dual arms\",\"authors\":\"Kyu-Mann Lim, J. Cheong\",\"doi\":\"10.1109/URAI.2013.6677415\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recently, many industrial settings carry out the justified task with robots that try to improve the productivity and quality of product. This paper describes to a method of `Error Detection' and `Error Recovery' using up-to-date sensors. Errors are defined and identified based on standardized types through the status of sen by the robots.\",\"PeriodicalId\":431699,\"journal\":{\"name\":\"2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)\",\"volume\":\"26 7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/URAI.2013.6677415\",\"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 10th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/URAI.2013.6677415","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Error detection and recovery for automated manufacturing using dual arms
Recently, many industrial settings carry out the justified task with robots that try to improve the productivity and quality of product. This paper describes to a method of `Error Detection' and `Error Recovery' using up-to-date sensors. Errors are defined and identified based on standardized types through the status of sen by the robots.