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Efficient cooperative search of smart targets using UAV Swarms1

Published online by Cambridge University Press:  01 July 2008

Yaniv Altshuler ,
Vladimir Yanovsky ,
Israel A. Wagner  and
Alfred M. Bruckstein
Yaniv Altshuler*
Affiliation:
Computer Science Department, Technion, Haifa 32000Israel
Vladimir Yanovsky
Affiliation:
Computer Science Department, Technion, Haifa 32000Israel
Israel A. Wagner
Affiliation:
Computer Science Department, Technion, Haifa 32000Israel IBM Haifa Labs, MATAM, Haifa 31905Israel
Alfred M. Bruckstein
Affiliation:
Computer Science Department, Technion, Haifa 32000Israel
*
*Corresponding author. E-mail: yanival@cs.technion.ac.il
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Summary

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.

Keywords

Swarm AlgorithmCooperative SearchShape Factor
Type
Article
Information
Robotica , Volume 26 , Special Issue 4: Geometry in Robotics: Sensing , July 2008 , pp. 551 - 557
Copyright
Copyright © Cambridge University Press 2008

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Footnotes

1

This research has been supported in part by the Ministry of Science Infrastructural Grant No. 3-942 and the Devorah fund and by the Russel–Berrie Nanotechnology Institute (RBNI).

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