{"title":"基于统计学和机器学习的机电产品装配自动化机器人操作研究","authors":"V. Tsenev","doi":"10.1109/InfoTech55606.2022.9897112","DOIUrl":null,"url":null,"abstract":"A line for assembling of electromechanical products - connectors has been studied. The line is automatic and flexible, thanks to the use of 15 robots for transport and assembly. The possibilities are for assembling a family of several types of connectors. The work of the line is analysed and evaluated through statistics. With the help of machine learning, it is possible to reconfigure the line automatically and even to be able to produce different connectors according to a predetermined assembly sequence.","PeriodicalId":196547,"journal":{"name":"2022 International Conference on Information Technologies (InfoTech)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study of the Operation of an Automatic Robotic Line for Assembly of Electromechanical Products Using Statistics and Machine Learning\",\"authors\":\"V. Tsenev\",\"doi\":\"10.1109/InfoTech55606.2022.9897112\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A line for assembling of electromechanical products - connectors has been studied. The line is automatic and flexible, thanks to the use of 15 robots for transport and assembly. The possibilities are for assembling a family of several types of connectors. The work of the line is analysed and evaluated through statistics. With the help of machine learning, it is possible to reconfigure the line automatically and even to be able to produce different connectors according to a predetermined assembly sequence.\",\"PeriodicalId\":196547,\"journal\":{\"name\":\"2022 International Conference on Information Technologies (InfoTech)\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Information Technologies (InfoTech)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/InfoTech55606.2022.9897112\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Information Technologies (InfoTech)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/InfoTech55606.2022.9897112","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study of the Operation of an Automatic Robotic Line for Assembly of Electromechanical Products Using Statistics and Machine Learning
A line for assembling of electromechanical products - connectors has been studied. The line is automatic and flexible, thanks to the use of 15 robots for transport and assembly. The possibilities are for assembling a family of several types of connectors. The work of the line is analysed and evaluated through statistics. With the help of machine learning, it is possible to reconfigure the line automatically and even to be able to produce different connectors according to a predetermined assembly sequence.
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