{"title":"Evaluation of robot swarm control methods for underwater mine countermeasures","authors":"Y. C. Tan, B. Bishop","doi":"10.1109/SSST.2004.1295667","DOIUrl":null,"url":null,"abstract":"This paper involves the synthesis of a swarm controller that is suitable for coordinating movements of a group of autonomous robotic vehicles performing underwater mine countermeasures (UMCM). The main objective of this research is to combine behavior-based robot control methods with systems-theoretic swarm control techniques to achieve a hybrid that has the best characteristics of both. Behavior-based robotic theories are combined with statistical methods to give rise to a robust form of control for robots performing UMCM. This highly reactive and responsive system demonstrates an elegant solution for UMCM through simulation and experiments.","PeriodicalId":309617,"journal":{"name":"Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of the","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of the","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSST.2004.1295667","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18
Abstract
This paper involves the synthesis of a swarm controller that is suitable for coordinating movements of a group of autonomous robotic vehicles performing underwater mine countermeasures (UMCM). The main objective of this research is to combine behavior-based robot control methods with systems-theoretic swarm control techniques to achieve a hybrid that has the best characteristics of both. Behavior-based robotic theories are combined with statistical methods to give rise to a robust form of control for robots performing UMCM. This highly reactive and responsive system demonstrates an elegant solution for UMCM through simulation and experiments.