{"title":"无人机群的多智能体路径规划","authors":"Richard Carney, M. Chyba, Chris Gray, A. Trimble","doi":"10.1109/IGARSS39084.2020.9324503","DOIUrl":null,"url":null,"abstract":"The objective of swarms is to enable multiple agents to collaborate toward a common goal, as one would find in a remote sensing setting. In this paper we focus on swarms of unmanned aerial vehicles (UAVs), which for instance have an objective to optimize the survey of a prescribed area and/or the detection of a specific object. Instructing each individual agent from a central command control quickly becomes inefficient, even for small groups of agents. Agreement protocol is done locally by the multi-agents without external user input. Because of the wide variety of conditions UAVs can face, the algorithm needs to be robust despite external disturbances.","PeriodicalId":444267,"journal":{"name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Multi-Agents Path Planning for a Swarm of Unmanned Aerial Vehicles\",\"authors\":\"Richard Carney, M. Chyba, Chris Gray, A. Trimble\",\"doi\":\"10.1109/IGARSS39084.2020.9324503\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The objective of swarms is to enable multiple agents to collaborate toward a common goal, as one would find in a remote sensing setting. In this paper we focus on swarms of unmanned aerial vehicles (UAVs), which for instance have an objective to optimize the survey of a prescribed area and/or the detection of a specific object. Instructing each individual agent from a central command control quickly becomes inefficient, even for small groups of agents. Agreement protocol is done locally by the multi-agents without external user input. Because of the wide variety of conditions UAVs can face, the algorithm needs to be robust despite external disturbances.\",\"PeriodicalId\":444267,\"journal\":{\"name\":\"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IGARSS39084.2020.9324503\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IGARSS39084.2020.9324503","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-Agents Path Planning for a Swarm of Unmanned Aerial Vehicles
The objective of swarms is to enable multiple agents to collaborate toward a common goal, as one would find in a remote sensing setting. In this paper we focus on swarms of unmanned aerial vehicles (UAVs), which for instance have an objective to optimize the survey of a prescribed area and/or the detection of a specific object. Instructing each individual agent from a central command control quickly becomes inefficient, even for small groups of agents. Agreement protocol is done locally by the multi-agents without external user input. Because of the wide variety of conditions UAVs can face, the algorithm needs to be robust despite external disturbances.