{"title":"有障碍物环境下移动机器人的CNN路径规划","authors":"A. Gacsádi, T. Maghiar, V. Tiponut","doi":"10.1109/CNNA.2002.1035052","DOIUrl":null,"url":null,"abstract":"In this paper a method for visual control based on images of a mobile robot in an environment with obstacles is proposed. Cellular neural networks are used here for path planning of a mobile robot, in real time.","PeriodicalId":387716,"journal":{"name":"Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2002-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"A CNN path planning for a mobile robot in an environment with obstacles\",\"authors\":\"A. Gacsádi, T. Maghiar, V. Tiponut\",\"doi\":\"10.1109/CNNA.2002.1035052\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper a method for visual control based on images of a mobile robot in an environment with obstacles is proposed. Cellular neural networks are used here for path planning of a mobile robot, in real time.\",\"PeriodicalId\":387716,\"journal\":{\"name\":\"Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-07-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CNNA.2002.1035052\",\"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 the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CNNA.2002.1035052","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A CNN path planning for a mobile robot in an environment with obstacles
In this paper a method for visual control based on images of a mobile robot in an environment with obstacles is proposed. Cellular neural networks are used here for path planning of a mobile robot, in real time.