{"title":"移动机器人模糊轨迹跟踪与规划控制的设计与实现","authors":"T.-H.S. Li, Sheng-Sung Jian, M. Tsai","doi":"10.1109/TENCON.2001.949634","DOIUrl":null,"url":null,"abstract":"Fuzzy trajectory following and planning control for mobile robots are examined. A fuzzy logic controller is designed for a trajectory following problem and a fuzzy logic decision mechanism is proposed for the trajectory planning with obstacles in a known environment. A car-like mobile robot system is developed to perform the implementation, where the vision system is set up to detect the working environment and obstacles. Both computer simulations and real-time experimental results demonstrate that the proposed fuzzy trajectory following and planning controller can successfully make the mobile robot online execute the trajectory following and planning problems even in an environment with obstacles.","PeriodicalId":358168,"journal":{"name":"Proceedings of IEEE Region 10 International Conference on Electrical and Electronic Technology. TENCON 2001 (Cat. No.01CH37239)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Design and implementation of fuzzy trajectory following and planning control for mobile robots\",\"authors\":\"T.-H.S. Li, Sheng-Sung Jian, M. Tsai\",\"doi\":\"10.1109/TENCON.2001.949634\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Fuzzy trajectory following and planning control for mobile robots are examined. A fuzzy logic controller is designed for a trajectory following problem and a fuzzy logic decision mechanism is proposed for the trajectory planning with obstacles in a known environment. A car-like mobile robot system is developed to perform the implementation, where the vision system is set up to detect the working environment and obstacles. Both computer simulations and real-time experimental results demonstrate that the proposed fuzzy trajectory following and planning controller can successfully make the mobile robot online execute the trajectory following and planning problems even in an environment with obstacles.\",\"PeriodicalId\":358168,\"journal\":{\"name\":\"Proceedings of IEEE Region 10 International Conference on Electrical and Electronic Technology. TENCON 2001 (Cat. No.01CH37239)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-08-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of IEEE Region 10 International Conference on Electrical and Electronic Technology. TENCON 2001 (Cat. No.01CH37239)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TENCON.2001.949634\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of IEEE Region 10 International Conference on Electrical and Electronic Technology. TENCON 2001 (Cat. No.01CH37239)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TENCON.2001.949634","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design and implementation of fuzzy trajectory following and planning control for mobile robots
Fuzzy trajectory following and planning control for mobile robots are examined. A fuzzy logic controller is designed for a trajectory following problem and a fuzzy logic decision mechanism is proposed for the trajectory planning with obstacles in a known environment. A car-like mobile robot system is developed to perform the implementation, where the vision system is set up to detect the working environment and obstacles. Both computer simulations and real-time experimental results demonstrate that the proposed fuzzy trajectory following and planning controller can successfully make the mobile robot online execute the trajectory following and planning problems even in an environment with obstacles.