{"title":"Coverage control in non-convex environment considering unknown non-convex obstacles","authors":"Hamed F. Parapari, F. Abdollahi, M. Menhaj","doi":"10.1109/ICROM.2014.6990887","DOIUrl":null,"url":null,"abstract":"This paper presents a cooperative algorithm by which a group of mobile robots cover an unknown non-convex environment in the presence of unknown obstacles. Each one starts from a random position and navigates to cover area while avoiding collisions with the fixed-obstacles exist in the field. Moreover, convergence to the maximal coverage is studied. Comparing with the previous algorithms, the proposed approach is able to deal with non-convex domains considering non-convex obstacles, covers more areas with limited sensing and save more energy in non-convex domains. Simulation results validate the enhanced performance of the proposed approach.","PeriodicalId":177375,"journal":{"name":"2014 Second RSI/ISM International Conference on Robotics and Mechatronics (ICRoM)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Second RSI/ISM International Conference on Robotics and Mechatronics (ICRoM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICROM.2014.6990887","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
This paper presents a cooperative algorithm by which a group of mobile robots cover an unknown non-convex environment in the presence of unknown obstacles. Each one starts from a random position and navigates to cover area while avoiding collisions with the fixed-obstacles exist in the field. Moreover, convergence to the maximal coverage is studied. Comparing with the previous algorithms, the proposed approach is able to deal with non-convex domains considering non-convex obstacles, covers more areas with limited sensing and save more energy in non-convex domains. Simulation results validate the enhanced performance of the proposed approach.