{"title":"多架无人机模仿鹰狩猎行为的分组攻击策略","authors":"Lin Bin, Chen Wei, H. Duan","doi":"10.1109/ICUS55513.2022.9986759","DOIUrl":null,"url":null,"abstract":"For Multi-Unmanned Aerial Vehicle (UAV) confrontation, there are many challenging problems such as task assignment and autonomous decision-making. Inspired by the target selection behavior of Swainson's hawk and cooperative hunting of falcons, a grouped attack strategy of Multi-UAV imitating hawk hunting behaviors is proposed to solve the target assignment and teammate assignment problem during the Multi-UAV confrontation when casualties occur on both sides especially. The grouped attack strategy of Multi-UAV consists of a hawk target selection mechanism and a multi-hawk cooperative capture success mechanism. The simulation results demonstrate that the proposed strategy can make allies destroy more enemies.","PeriodicalId":345773,"journal":{"name":"2022 IEEE International Conference on Unmanned Systems (ICUS)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Grouped Attack Strategy of Multi-UAV Imitating Hawk Hunting Behaviors\",\"authors\":\"Lin Bin, Chen Wei, H. Duan\",\"doi\":\"10.1109/ICUS55513.2022.9986759\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For Multi-Unmanned Aerial Vehicle (UAV) confrontation, there are many challenging problems such as task assignment and autonomous decision-making. Inspired by the target selection behavior of Swainson's hawk and cooperative hunting of falcons, a grouped attack strategy of Multi-UAV imitating hawk hunting behaviors is proposed to solve the target assignment and teammate assignment problem during the Multi-UAV confrontation when casualties occur on both sides especially. The grouped attack strategy of Multi-UAV consists of a hawk target selection mechanism and a multi-hawk cooperative capture success mechanism. The simulation results demonstrate that the proposed strategy can make allies destroy more enemies.\",\"PeriodicalId\":345773,\"journal\":{\"name\":\"2022 IEEE International Conference on Unmanned Systems (ICUS)\",\"volume\":\"92 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Conference on Unmanned Systems (ICUS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICUS55513.2022.9986759\",\"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 IEEE International Conference on Unmanned Systems (ICUS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICUS55513.2022.9986759","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Grouped Attack Strategy of Multi-UAV Imitating Hawk Hunting Behaviors
For Multi-Unmanned Aerial Vehicle (UAV) confrontation, there are many challenging problems such as task assignment and autonomous decision-making. Inspired by the target selection behavior of Swainson's hawk and cooperative hunting of falcons, a grouped attack strategy of Multi-UAV imitating hawk hunting behaviors is proposed to solve the target assignment and teammate assignment problem during the Multi-UAV confrontation when casualties occur on both sides especially. The grouped attack strategy of Multi-UAV consists of a hawk target selection mechanism and a multi-hawk cooperative capture success mechanism. The simulation results demonstrate that the proposed strategy can make allies destroy more enemies.