{"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}
引用次数: 1
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.