{"title":"基于SA-MCL算法的智能agv室内定位ROS体系","authors":"Abdurrahman Yilmaz, H. Temeltas","doi":"10.23919/ELECO47770.2019.8990622","DOIUrl":null,"url":null,"abstract":"Localization is a problem in mobile robotics, which is widely studied and tries to determine the instantaneous position and orientation of the robot. However, the studies that present the necessary infrastructure for real-world applications of the developed methods are in the minority. Therefore, in this study, the architecture required to implement the updated SA-MCL algorithm with the ellipse based energy model in the ROS environment is given. According to the proposed architecture, this algorithm is utilized in a real application and the obtained results are shown. Thus, it is aimed that the researchers who have ROS enabled experimental setup and/or robot model prepared in ROS-Gazebo environment can easily apply the method.","PeriodicalId":6611,"journal":{"name":"2019 11th International Conference on Electrical and Electronics Engineering (ELECO)","volume":"5 1","pages":"885-889"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"ROS Architecture for Indoor Localization of Smart-AGVs Based on SA-MCL Algorithm\",\"authors\":\"Abdurrahman Yilmaz, H. Temeltas\",\"doi\":\"10.23919/ELECO47770.2019.8990622\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Localization is a problem in mobile robotics, which is widely studied and tries to determine the instantaneous position and orientation of the robot. However, the studies that present the necessary infrastructure for real-world applications of the developed methods are in the minority. Therefore, in this study, the architecture required to implement the updated SA-MCL algorithm with the ellipse based energy model in the ROS environment is given. According to the proposed architecture, this algorithm is utilized in a real application and the obtained results are shown. Thus, it is aimed that the researchers who have ROS enabled experimental setup and/or robot model prepared in ROS-Gazebo environment can easily apply the method.\",\"PeriodicalId\":6611,\"journal\":{\"name\":\"2019 11th International Conference on Electrical and Electronics Engineering (ELECO)\",\"volume\":\"5 1\",\"pages\":\"885-889\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 11th International Conference on Electrical and Electronics Engineering (ELECO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ELECO47770.2019.8990622\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 11th International Conference on Electrical and Electronics Engineering (ELECO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ELECO47770.2019.8990622","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
ROS Architecture for Indoor Localization of Smart-AGVs Based on SA-MCL Algorithm
Localization is a problem in mobile robotics, which is widely studied and tries to determine the instantaneous position and orientation of the robot. However, the studies that present the necessary infrastructure for real-world applications of the developed methods are in the minority. Therefore, in this study, the architecture required to implement the updated SA-MCL algorithm with the ellipse based energy model in the ROS environment is given. According to the proposed architecture, this algorithm is utilized in a real application and the obtained results are shown. Thus, it is aimed that the researchers who have ROS enabled experimental setup and/or robot model prepared in ROS-Gazebo environment can easily apply the method.