Sherwin John Dignadice, John Raven Red, A. J. Bautista, Alma Perol, Arthur Ollanda, R. Santos
{"title":"同时定位与绘图在自主机器人开发中的应用","authors":"Sherwin John Dignadice, John Raven Red, A. J. Bautista, Alma Perol, Arthur Ollanda, R. Santos","doi":"10.1109/ICCAR55106.2022.9782658","DOIUrl":null,"url":null,"abstract":"Numerous industries nowadays waste considerable amounts of time, energy and money performing simple tasks that can often be allotted to service robots. The development of an affordable, open-source, autonomous indoor service robot will be of great benefit to many. An autonomous indoor service robot was developed using the Simultaneous Localization and Mapping (SLAM) Gmapping package for the Robot Operating System (ROS) and the ROS Navigation Stack. This was implemented by combining 2D LiDAR and odometry data. With this, the robot will be able to autonomously navigate and allow itself to be used in performing simple tasks from one point to another. Autonomous navigation performance was evaluated using static and dynamic obstacle tests.","PeriodicalId":292132,"journal":{"name":"2022 8th International Conference on Control, Automation and Robotics (ICCAR)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Application of Simultaneous Localization and Mapping in the Development of an Autonomous Robot\",\"authors\":\"Sherwin John Dignadice, John Raven Red, A. J. Bautista, Alma Perol, Arthur Ollanda, R. Santos\",\"doi\":\"10.1109/ICCAR55106.2022.9782658\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Numerous industries nowadays waste considerable amounts of time, energy and money performing simple tasks that can often be allotted to service robots. The development of an affordable, open-source, autonomous indoor service robot will be of great benefit to many. An autonomous indoor service robot was developed using the Simultaneous Localization and Mapping (SLAM) Gmapping package for the Robot Operating System (ROS) and the ROS Navigation Stack. This was implemented by combining 2D LiDAR and odometry data. With this, the robot will be able to autonomously navigate and allow itself to be used in performing simple tasks from one point to another. Autonomous navigation performance was evaluated using static and dynamic obstacle tests.\",\"PeriodicalId\":292132,\"journal\":{\"name\":\"2022 8th International Conference on Control, Automation and Robotics (ICCAR)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 8th International Conference on Control, Automation and Robotics (ICCAR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCAR55106.2022.9782658\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 8th International Conference on Control, Automation and Robotics (ICCAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAR55106.2022.9782658","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of Simultaneous Localization and Mapping in the Development of an Autonomous Robot
Numerous industries nowadays waste considerable amounts of time, energy and money performing simple tasks that can often be allotted to service robots. The development of an affordable, open-source, autonomous indoor service robot will be of great benefit to many. An autonomous indoor service robot was developed using the Simultaneous Localization and Mapping (SLAM) Gmapping package for the Robot Operating System (ROS) and the ROS Navigation Stack. This was implemented by combining 2D LiDAR and odometry data. With this, the robot will be able to autonomously navigate and allow itself to be used in performing simple tasks from one point to another. Autonomous navigation performance was evaluated using static and dynamic obstacle tests.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
