Shi Feng, Shuxiang Guo, Dan Yang, Ao Li, He Yin, Meng Liu
{"title":"Collaborative Searching Strategy for Multi-Amphibious Spherical Robots in 3D underwater environments","authors":"Shi Feng, Shuxiang Guo, Dan Yang, Ao Li, He Yin, Meng Liu","doi":"10.1109/ICMA57826.2023.10215828","DOIUrl":null,"url":null,"abstract":"An improved multi-robot cooperative strategy based on the improved artificial bee colony algorithm is proposed for the task of underwater multi-robot cooperative area target search. The strategy consists of three stages: cruising stage, building capture alliance stage, and cooperative search stage. In the cruising stage, robot adopts the improved random walk algorithm for aimless cruising. In the building capture alliance stage, robot uses an auction algorithm for the assignment of search tasks. In the cooperative search stage, robot adopts the improved artificial bee colony algorithm for cooperative search of targets. Furthermore, simulations are conducted, and the results demonstrate that the proposed strategy can effectively guide multiple robots to perform area target search in unknown 3D underwater environments.","PeriodicalId":151364,"journal":{"name":"2023 IEEE International Conference on Mechatronics and Automation (ICMA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Conference on Mechatronics and Automation (ICMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMA57826.2023.10215828","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
An improved multi-robot cooperative strategy based on the improved artificial bee colony algorithm is proposed for the task of underwater multi-robot cooperative area target search. The strategy consists of three stages: cruising stage, building capture alliance stage, and cooperative search stage. In the cruising stage, robot adopts the improved random walk algorithm for aimless cruising. In the building capture alliance stage, robot uses an auction algorithm for the assignment of search tasks. In the cooperative search stage, robot adopts the improved artificial bee colony algorithm for cooperative search of targets. Furthermore, simulations are conducted, and the results demonstrate that the proposed strategy can effectively guide multiple robots to perform area target search in unknown 3D underwater environments.