B. Markoski, S. Vukosavljev, Dragan D. Kukolj, Szilveszter Pletl
{"title":"移动机器人的自学习神经网络控制","authors":"B. Markoski, S. Vukosavljev, Dragan D. Kukolj, Szilveszter Pletl","doi":"10.1109/SISY.2009.5291131","DOIUrl":null,"url":null,"abstract":"The paper describes the concept of the navigation system for a mobile robot. The system is using a navigation algorithm based on self-learning neural network, necessary to form a movement plan for a robot. The algorithm is adapted and implemented to navigate real platform of a mobile robot equipped by two independent wheel drives, encoders and a set of short-range sonars. Navigation algorithm is placed into a PC, which is connected to mobile robot by wireless and wired links. Experiments have shown ability of collision-free navigation of mobile robot in real time.","PeriodicalId":378688,"journal":{"name":"2009 7th International Symposium on Intelligent Systems and Informatics","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Mobile robot control using self-learning neural network\",\"authors\":\"B. Markoski, S. Vukosavljev, Dragan D. Kukolj, Szilveszter Pletl\",\"doi\":\"10.1109/SISY.2009.5291131\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper describes the concept of the navigation system for a mobile robot. The system is using a navigation algorithm based on self-learning neural network, necessary to form a movement plan for a robot. The algorithm is adapted and implemented to navigate real platform of a mobile robot equipped by two independent wheel drives, encoders and a set of short-range sonars. Navigation algorithm is placed into a PC, which is connected to mobile robot by wireless and wired links. Experiments have shown ability of collision-free navigation of mobile robot in real time.\",\"PeriodicalId\":378688,\"journal\":{\"name\":\"2009 7th International Symposium on Intelligent Systems and Informatics\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 7th International Symposium on Intelligent Systems and Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SISY.2009.5291131\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 7th International Symposium on Intelligent Systems and Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SISY.2009.5291131","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mobile robot control using self-learning neural network
The paper describes the concept of the navigation system for a mobile robot. The system is using a navigation algorithm based on self-learning neural network, necessary to form a movement plan for a robot. The algorithm is adapted and implemented to navigate real platform of a mobile robot equipped by two independent wheel drives, encoders and a set of short-range sonars. Navigation algorithm is placed into a PC, which is connected to mobile robot by wireless and wired links. Experiments have shown ability of collision-free navigation of mobile robot in real time.
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