{"title":"基于模糊逻辑控制的最小传感器运动规划","authors":"Ho Yim, A. Butler","doi":"10.1109/ISIC.1995.525114","DOIUrl":null,"url":null,"abstract":"A new exploratory motion planning technique for a mobile robot is described and demonstrated using a fuzzy logic control (FLC) approach with two distance sensors. The fuzzy logic controller determines steering direction for a four wheel mobile robot based on distance from each sensor to the nearest obstacle ahead of the robot. Changes in steering direction are developed using Mamdani's Minimum Operation Rule and Center of Area (COA) defuzzification. The overall motion planning strategy is described and results from testing are discussed. It is believed that the FLC approach may offer advantages over other exploratory methods.","PeriodicalId":219623,"journal":{"name":"Proceedings of Tenth International Symposium on Intelligent Control","volume":"94 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Motion planning using fuzzy logic control with minimum sensors\",\"authors\":\"Ho Yim, A. Butler\",\"doi\":\"10.1109/ISIC.1995.525114\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new exploratory motion planning technique for a mobile robot is described and demonstrated using a fuzzy logic control (FLC) approach with two distance sensors. The fuzzy logic controller determines steering direction for a four wheel mobile robot based on distance from each sensor to the nearest obstacle ahead of the robot. Changes in steering direction are developed using Mamdani's Minimum Operation Rule and Center of Area (COA) defuzzification. The overall motion planning strategy is described and results from testing are discussed. It is believed that the FLC approach may offer advantages over other exploratory methods.\",\"PeriodicalId\":219623,\"journal\":{\"name\":\"Proceedings of Tenth International Symposium on Intelligent Control\",\"volume\":\"94 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of Tenth International Symposium on Intelligent Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIC.1995.525114\",\"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 Tenth International Symposium on Intelligent Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIC.1995.525114","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Motion planning using fuzzy logic control with minimum sensors
A new exploratory motion planning technique for a mobile robot is described and demonstrated using a fuzzy logic control (FLC) approach with two distance sensors. The fuzzy logic controller determines steering direction for a four wheel mobile robot based on distance from each sensor to the nearest obstacle ahead of the robot. Changes in steering direction are developed using Mamdani's Minimum Operation Rule and Center of Area (COA) defuzzification. The overall motion planning strategy is described and results from testing are discussed. It is believed that the FLC approach may offer advantages over other exploratory methods.
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