Kyeong-Jin Joo, Sanghyeon Bae, Arpan Ghosh, HyunJi Park, Tae-Yong Kuc
{"title":"Wall following navigation algorithm for a disinfecting robot","authors":"Kyeong-Jin Joo, Sanghyeon Bae, Arpan Ghosh, HyunJi Park, Tae-Yong Kuc","doi":"10.1109/ur55393.2022.9826258","DOIUrl":null,"url":null,"abstract":"This paper introduces the advanced wall following navigation using various distance sensors and navigation methods for a disinfecting robot. Based on distance data from the lidar sensor, we propose the virtual distance data so that a mobile robot can rotate reliably wall following navigation and robot can drive stably by preprocessing distance data and using the PID controller. In addition, we suggested a way for the mobile robot using active slams to return from start position to original position through pseudo code. Finally, through simulation and real-world experiments, we verified the stability of the mobile robot's wall following navigation in the simulation and real world.","PeriodicalId":398742,"journal":{"name":"2022 19th International Conference on Ubiquitous Robots (UR)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 19th International Conference on Ubiquitous Robots (UR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ur55393.2022.9826258","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper introduces the advanced wall following navigation using various distance sensors and navigation methods for a disinfecting robot. Based on distance data from the lidar sensor, we propose the virtual distance data so that a mobile robot can rotate reliably wall following navigation and robot can drive stably by preprocessing distance data and using the PID controller. In addition, we suggested a way for the mobile robot using active slams to return from start position to original position through pseudo code. Finally, through simulation and real-world experiments, we verified the stability of the mobile robot's wall following navigation in the simulation and real world.