{"title":"机器人机械臂学习控制研究综述与讨论","authors":"Dan Zhang, Bin Wei","doi":"10.1109/IRIS.2017.8250089","DOIUrl":null,"url":null,"abstract":"Learning control in robotic manipulators is mainly used to address the issue that the friction at joints of robotic mechanisms and other uncertainties may exist in the dynamic models, which are very complex and may even be impossible to model mathematically. Here, the authors reviewed and discussed the recent development of learning control in robotic manipulators and some issues in learning control for robotic manipulators are also illustrated.","PeriodicalId":213724,"journal":{"name":"2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A brief review and discussion on learning control of robotic manipulators\",\"authors\":\"Dan Zhang, Bin Wei\",\"doi\":\"10.1109/IRIS.2017.8250089\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Learning control in robotic manipulators is mainly used to address the issue that the friction at joints of robotic mechanisms and other uncertainties may exist in the dynamic models, which are very complex and may even be impossible to model mathematically. Here, the authors reviewed and discussed the recent development of learning control in robotic manipulators and some issues in learning control for robotic manipulators are also illustrated.\",\"PeriodicalId\":213724,\"journal\":{\"name\":\"2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS)\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IRIS.2017.8250089\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRIS.2017.8250089","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A brief review and discussion on learning control of robotic manipulators
Learning control in robotic manipulators is mainly used to address the issue that the friction at joints of robotic mechanisms and other uncertainties may exist in the dynamic models, which are very complex and may even be impossible to model mathematically. Here, the authors reviewed and discussed the recent development of learning control in robotic manipulators and some issues in learning control for robotic manipulators are also illustrated.