B. Kiran, S. Karthikeyan, M. A. Suhel Pasha, K. Manjunatha, S. Manoj Kumar, Sharvin Vivian Moras
{"title":"Design and Development of Autonomous Mobile Robot for Mapping and Navigation System","authors":"B. Kiran, S. Karthikeyan, M. A. Suhel Pasha, K. Manjunatha, S. Manoj Kumar, Sharvin Vivian Moras","doi":"10.1109/PuneCon55413.2022.10014944","DOIUrl":null,"url":null,"abstract":"Mobile Robot for Mapping and Navigation is one of the challenging researches in the area of robotics. An unknown indoor and outdoor mapping in dynamic environment is used for navigation of robot. This research focuses on mapping utilizing a GMapping approach that uses simultaneous localization and mapping (SLAM). The concept of navigation or autonomous driving is used in SLAM it helps for mobile robot to move independently. SLAM and RVIZ GMapping software that is available an open source, along with the Robotic Operating System (ROS) and RPLiDAR camera, is required to map an unknown dynamic indoor environment. The laser data and navigation messages are passed to mapping in an unknowable environment, the SLAM GMapping function is taken into account. The command for autonomous navigation will be designed and delivered by the navigation stack after the mapping has been generated.","PeriodicalId":258640,"journal":{"name":"2022 IEEE Pune Section International Conference (PuneCon)","volume":"246 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Pune Section International Conference (PuneCon)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PuneCon55413.2022.10014944","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Mobile Robot for Mapping and Navigation is one of the challenging researches in the area of robotics. An unknown indoor and outdoor mapping in dynamic environment is used for navigation of robot. This research focuses on mapping utilizing a GMapping approach that uses simultaneous localization and mapping (SLAM). The concept of navigation or autonomous driving is used in SLAM it helps for mobile robot to move independently. SLAM and RVIZ GMapping software that is available an open source, along with the Robotic Operating System (ROS) and RPLiDAR camera, is required to map an unknown dynamic indoor environment. The laser data and navigation messages are passed to mapping in an unknowable environment, the SLAM GMapping function is taken into account. The command for autonomous navigation will be designed and delivered by the navigation stack after the mapping has been generated.
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