{"title":"基于神经网络的移动机器人轨迹跟踪","authors":"M. Lopez, S. Acevedo, L.H. Rios","doi":"10.1109/CERMA.2008.69","DOIUrl":null,"url":null,"abstract":"This paper reviews a theory of robot motion planning and elaborates an application in which neural networks are used to take decisions regarding the orientation of a robot in its search for a destination target.The Simulink is used as a tool to implement the concepts. The neural networks allow obtaining a model of inverse dynamic, indeed the mathematical model of robot. The test was realized with different types of trajectories to validate the methodology proposed. A servosystem was adjusted optimally by the implementation of an heuristic technic.","PeriodicalId":126172,"journal":{"name":"2008 Electronics, Robotics and Automotive Mechanics Conference (CERMA '08)","volume":"170 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Following of Trayectories for a Mobile Robot Using Neural Networks\",\"authors\":\"M. Lopez, S. Acevedo, L.H. Rios\",\"doi\":\"10.1109/CERMA.2008.69\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper reviews a theory of robot motion planning and elaborates an application in which neural networks are used to take decisions regarding the orientation of a robot in its search for a destination target.The Simulink is used as a tool to implement the concepts. The neural networks allow obtaining a model of inverse dynamic, indeed the mathematical model of robot. The test was realized with different types of trajectories to validate the methodology proposed. A servosystem was adjusted optimally by the implementation of an heuristic technic.\",\"PeriodicalId\":126172,\"journal\":{\"name\":\"2008 Electronics, Robotics and Automotive Mechanics Conference (CERMA '08)\",\"volume\":\"170 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Electronics, Robotics and Automotive Mechanics Conference (CERMA '08)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CERMA.2008.69\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Electronics, Robotics and Automotive Mechanics Conference (CERMA '08)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CERMA.2008.69","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Following of Trayectories for a Mobile Robot Using Neural Networks
This paper reviews a theory of robot motion planning and elaborates an application in which neural networks are used to take decisions regarding the orientation of a robot in its search for a destination target.The Simulink is used as a tool to implement the concepts. The neural networks allow obtaining a model of inverse dynamic, indeed the mathematical model of robot. The test was realized with different types of trajectories to validate the methodology proposed. A servosystem was adjusted optimally by the implementation of an heuristic technic.
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