{"title":"基于生物启发方法的户外无人机控制与协调系统","authors":"J. Zelenka, T. Kasanický","doi":"10.1109/RAAD.2014.7002224","DOIUrl":null,"url":null,"abstract":"This paper presents control strategy for a group of multi-rotor unmanned aerial vehicles (UAV). Descripted biologically inspired method was developed to solve exploration or monitoring tasks. The proposed solution was tested in real environment on a quad-rotor UAV platform. Our abstract model is a decentralized adaptive system with a shared memory which represents the environment.","PeriodicalId":205930,"journal":{"name":"2014 23rd International Conference on Robotics in Alpe-Adria-Danube Region (RAAD)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Outdoor UAV control and coordination system supported by biological inspired method\",\"authors\":\"J. Zelenka, T. Kasanický\",\"doi\":\"10.1109/RAAD.2014.7002224\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents control strategy for a group of multi-rotor unmanned aerial vehicles (UAV). Descripted biologically inspired method was developed to solve exploration or monitoring tasks. The proposed solution was tested in real environment on a quad-rotor UAV platform. Our abstract model is a decentralized adaptive system with a shared memory which represents the environment.\",\"PeriodicalId\":205930,\"journal\":{\"name\":\"2014 23rd International Conference on Robotics in Alpe-Adria-Danube Region (RAAD)\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 23rd International Conference on Robotics in Alpe-Adria-Danube Region (RAAD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RAAD.2014.7002224\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 23rd International Conference on Robotics in Alpe-Adria-Danube Region (RAAD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAAD.2014.7002224","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Outdoor UAV control and coordination system supported by biological inspired method
This paper presents control strategy for a group of multi-rotor unmanned aerial vehicles (UAV). Descripted biologically inspired method was developed to solve exploration or monitoring tasks. The proposed solution was tested in real environment on a quad-rotor UAV platform. Our abstract model is a decentralized adaptive system with a shared memory which represents the environment.