{"title":"基于D-S数据融合的移动机器人研究","authors":"Wei Xiao-hui, Sheng Hai-Yun","doi":"10.1109/ICICTA.2011.92","DOIUrl":null,"url":null,"abstract":"Based on multi-sensor information and the D-S Data Fusion Algorithm, the presented system enables a robot to plan paths by itself and avoid obstacles by providing sufficient and reliable information regarding its surroundings, so the robot can approach its target eventually. A master-slave control system is adopted as the control system. Laser sensors, ultrasonic sensors, infrared sensors, photo sensors, photoelectric encoders as well as other sensor types are employed in this system. With these sensors assembling with each another, the functions of a robot, such as ranging, obstacle avoidance and target search are realized. The system finally reaches design requirements through debugging related software and hardware. Experiments have demonstrated that, the robot control system is highly stable and robust.","PeriodicalId":368130,"journal":{"name":"2011 Fourth International Conference on Intelligent Computation Technology and Automation","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Study on Mobile Robots Based on D-S Data Fusion\",\"authors\":\"Wei Xiao-hui, Sheng Hai-Yun\",\"doi\":\"10.1109/ICICTA.2011.92\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on multi-sensor information and the D-S Data Fusion Algorithm, the presented system enables a robot to plan paths by itself and avoid obstacles by providing sufficient and reliable information regarding its surroundings, so the robot can approach its target eventually. A master-slave control system is adopted as the control system. Laser sensors, ultrasonic sensors, infrared sensors, photo sensors, photoelectric encoders as well as other sensor types are employed in this system. With these sensors assembling with each another, the functions of a robot, such as ranging, obstacle avoidance and target search are realized. The system finally reaches design requirements through debugging related software and hardware. Experiments have demonstrated that, the robot control system is highly stable and robust.\",\"PeriodicalId\":368130,\"journal\":{\"name\":\"2011 Fourth International Conference on Intelligent Computation Technology and Automation\",\"volume\":\"84 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-03-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Fourth International Conference on Intelligent Computation Technology and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICTA.2011.92\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Fourth International Conference on Intelligent Computation Technology and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICTA.2011.92","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Based on multi-sensor information and the D-S Data Fusion Algorithm, the presented system enables a robot to plan paths by itself and avoid obstacles by providing sufficient and reliable information regarding its surroundings, so the robot can approach its target eventually. A master-slave control system is adopted as the control system. Laser sensors, ultrasonic sensors, infrared sensors, photo sensors, photoelectric encoders as well as other sensor types are employed in this system. With these sensors assembling with each another, the functions of a robot, such as ranging, obstacle avoidance and target search are realized. The system finally reaches design requirements through debugging related software and hardware. Experiments have demonstrated that, the robot control system is highly stable and robust.