{"title":"基于模糊规则的机器人运动控制方法","authors":"G. Raju, J. Zhou","doi":"10.1109/FUZZY.1992.258693","DOIUrl":null,"url":null,"abstract":"A fuzzy rule based approach for robot motion control is proposed to eliminate the computational complexity of the inverse kinematics problem associated with the conventional mathematical algorithm. Based upon the study of forward kinematics, a strategy for formulating the fuzzy rule set is proposed. A hierarchy is used in structuring the rules to reduce the number of rules needed for a complete fuzzy rule set. Simulations have shown that, by consulting the fuzzy rule sets, a robot can follow the user specified trajectory within the specified error limit.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Fuzzy rule based approach for robot motion control\",\"authors\":\"G. Raju, J. Zhou\",\"doi\":\"10.1109/FUZZY.1992.258693\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A fuzzy rule based approach for robot motion control is proposed to eliminate the computational complexity of the inverse kinematics problem associated with the conventional mathematical algorithm. Based upon the study of forward kinematics, a strategy for formulating the fuzzy rule set is proposed. A hierarchy is used in structuring the rules to reduce the number of rules needed for a complete fuzzy rule set. Simulations have shown that, by consulting the fuzzy rule sets, a robot can follow the user specified trajectory within the specified error limit.<<ETX>>\",\"PeriodicalId\":222263,\"journal\":{\"name\":\"[1992 Proceedings] IEEE International Conference on Fuzzy Systems\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-03-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1992 Proceedings] IEEE International Conference on Fuzzy Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FUZZY.1992.258693\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FUZZY.1992.258693","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy rule based approach for robot motion control
A fuzzy rule based approach for robot motion control is proposed to eliminate the computational complexity of the inverse kinematics problem associated with the conventional mathematical algorithm. Based upon the study of forward kinematics, a strategy for formulating the fuzzy rule set is proposed. A hierarchy is used in structuring the rules to reduce the number of rules needed for a complete fuzzy rule set. Simulations have shown that, by consulting the fuzzy rule sets, a robot can follow the user specified trajectory within the specified error limit.<>