S. Ulyanov, K. Yamafuji, K. Miyagawa, Takayuki Tanaka, T. Fukuda
{"title":"Intelligent fuzzy motion control of mobile robot for service use","authors":"S. Ulyanov, K. Yamafuji, K. Miyagawa, Takayuki Tanaka, T. Fukuda","doi":"10.1109/IROS.1995.525929","DOIUrl":null,"url":null,"abstract":"The intelligent mobile robot for service use with manipulators are moved in unstructured environments. Strategy for planning, environment recognition using two kinds of sensors and locomotion control to realize autonomous locomotion of the mobile robot are described. Fuzzy qualitative simulation, GA and hierarchical node map have revealed their effectiveness for path planning of the mobile robots. The results of fuzzy robot control simulation, monitoring and experimental investigations are presented.","PeriodicalId":124483,"journal":{"name":"Proceedings 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IROS.1995.525929","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17
Abstract
The intelligent mobile robot for service use with manipulators are moved in unstructured environments. Strategy for planning, environment recognition using two kinds of sensors and locomotion control to realize autonomous locomotion of the mobile robot are described. Fuzzy qualitative simulation, GA and hierarchical node map have revealed their effectiveness for path planning of the mobile robots. The results of fuzzy robot control simulation, monitoring and experimental investigations are presented.
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