Intelligent control of an autonomous cooperative of UAVs

Pub Date : 2007-01-01 DOI:10.3233/IDT-2007-11-205
A. Finn, S. Drake
{"title":"Intelligent control of an autonomous cooperative of UAVs","authors":"A. Finn, S. Drake","doi":"10.3233/IDT-2007-11-205","DOIUrl":null,"url":null,"abstract":"One vision for the future battlespace comprises cooperatives of uninhabited vehicles working seamlessly together and with manned vehicles in an adversarial environment. This provides the future warfighter with the potential to extend his reach and access into areas intentionally denied to him. Realisation of this vision clearly requires significant scientific advances to be made in a number of areas. Moreover, it also implies complete autonomy, whereas in reality humans are likely to be retained within the decision-making cycle, issuing high-level directions, managing uncertainty, and injecting a degree of flexibility and creativity into the system. This paper outlines a number of challenges that the Defence Science & Technology Organisation DSTO, which is part of the Australian Department of Defence, anticipates it will have to overcome as it develops an experimental capability similar to the one described above. The capability under development employs small, inexpensive Uninhabited Air Vehicles UAVs to detect, identify, locate, track, and electronically engage ground-based targets such as radars. These UAVs have the capacity to act autonomously and cooperatively and rely upon a heterogeneous mix of relatively unsophisticated Electronic Warfare EW receivers to observe and engage with their adversarial environment. The information observed and shared by this autonomous, adaptive and geographically distributed set of UAVs provides a situational awareness picture that can then be shared across the command echelons. The paper also provides a brief overview of the current status of the DSTO program and the results of some recent trials.","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2007-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/IDT-2007-11-205","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

One vision for the future battlespace comprises cooperatives of uninhabited vehicles working seamlessly together and with manned vehicles in an adversarial environment. This provides the future warfighter with the potential to extend his reach and access into areas intentionally denied to him. Realisation of this vision clearly requires significant scientific advances to be made in a number of areas. Moreover, it also implies complete autonomy, whereas in reality humans are likely to be retained within the decision-making cycle, issuing high-level directions, managing uncertainty, and injecting a degree of flexibility and creativity into the system. This paper outlines a number of challenges that the Defence Science & Technology Organisation DSTO, which is part of the Australian Department of Defence, anticipates it will have to overcome as it develops an experimental capability similar to the one described above. The capability under development employs small, inexpensive Uninhabited Air Vehicles UAVs to detect, identify, locate, track, and electronically engage ground-based targets such as radars. These UAVs have the capacity to act autonomously and cooperatively and rely upon a heterogeneous mix of relatively unsophisticated Electronic Warfare EW receivers to observe and engage with their adversarial environment. The information observed and shared by this autonomous, adaptive and geographically distributed set of UAVs provides a situational awareness picture that can then be shared across the command echelons. The paper also provides a brief overview of the current status of the DSTO program and the results of some recent trials.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
无人机自主协作系统的智能控制
未来作战空间的一个愿景是无人驾驶车辆在对抗环境中与有人驾驶车辆无缝协作。这为未来的战士提供了扩展他的范围和进入故意拒绝他的地区的潜力。实现这一愿景显然需要在若干领域取得重大的科学进步。此外,它还意味着完全的自主性,而在现实中,人类可能会保留在决策周期内,发布高级指令,管理不确定性,并向系统注入一定程度的灵活性和创造力。本文概述了澳大利亚国防部下属的国防科学与技术组织(DSTO)在开发类似于上述的实验能力时,预计必须克服的一些挑战。正在发展的能力采用小型、廉价的无人驾驶飞行器uav来探测、识别、定位、跟踪和电子交战地面目标,如雷达。这些无人机具有自主和协作行动的能力,并依靠相对简单的电子战电子战接收机的异质混合来观察和与敌对环境交战。这种自主、自适应和地理分布的无人机所观察和共享的信息提供了一种态势感知图像,然后可以在指挥梯队之间共享。本文还简要概述了DSTO计划的现状和最近一些试验的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1