Efficient cooperative search of smart targets using UAV Swarms

被引：55

作者：

Altshuler, Yaniv ^{[1
]}

Yanovsky, Vladimir ^{[1
]}

Wagner, Israel A. ^{[1
,2
]}

Bruckstein, Alfred M. ^{[1
]}

机构：

[1] Technion, Dept Comp Sci, IL-32000 Haifa, Israel

[2] MATAM, IBM Haifa Labs, IL-31905 Haifa, Israel

来源：

ROBOTICA | 2008年 / 26卷 / 551-557期

关键词：

swarm algorithm; cooperative search; shape factor;

D O I：

10.1017/S0263574708004141

中图分类号：

TP24 [机器人技术];

学科分类号：

080202 ; 1405 ;

摘要：

This work examines the Cooperative Hunters problem, where a swarm of unmanned air vehicles (UAVs) is used for searching one or more "evading targets," which are moving in a predefined area while trying to avoid a detection by the swarm. By arranging themselves into efficient geometric flight Configurations, the UAVs optimize their integrated sensing capabilities, enabling the search of a maximal territory.

引用

页码：551 / 557

页数：7

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