Ankit A. Ravankar, A. Ravankar, Chao-Chung Peng, Yukinori Kobayashi, T. Emaru
{"title":"Task coordination for multiple mobile robots considering semantic and topological information","authors":"Ankit A. Ravankar, A. Ravankar, Chao-Chung Peng, Yukinori Kobayashi, T. Emaru","doi":"10.1109/ICASI.2018.8394468","DOIUrl":null,"url":null,"abstract":"This paper presents task coordination scheme for multiple mobile robots in indoor environment. Multi-robot systems are gaining a lot of popularity for different applications in indoor and outdoor environments and for executing various tasks in different scenarios. The advantage with multi-robot systems is efficiency by which a task can be completed as compared to single robot system thus allowing more autonomy to the task at hand. In this paper, we present novel techniques for multi-robot system operating in indoor office like environment using semantic mapping. A mapping and navigation algorithm is discussed that uses topological and metric maps. We demonstrate through simulations and experiments, the coordination strategy and discuss the results.","PeriodicalId":300510,"journal":{"name":"2018 IEEE International Conference on Applied System Invention (ICASI)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Applied System Invention (ICASI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASI.2018.8394468","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
This paper presents task coordination scheme for multiple mobile robots in indoor environment. Multi-robot systems are gaining a lot of popularity for different applications in indoor and outdoor environments and for executing various tasks in different scenarios. The advantage with multi-robot systems is efficiency by which a task can be completed as compared to single robot system thus allowing more autonomy to the task at hand. In this paper, we present novel techniques for multi-robot system operating in indoor office like environment using semantic mapping. A mapping and navigation algorithm is discussed that uses topological and metric maps. We demonstrate through simulations and experiments, the coordination strategy and discuss the results.