Autonomous Control Laws for Mobile Robotic Surveillance Swarms

Robert Mullen; Dorothy Monekosso; Sarah Barman; Remagnino Paolo

Autonomous Control Laws for Mobile Robotic Surveillance Swarms

Robert Mullen
, Dorothy Monekosso
, Sarah Barman
, Remagnino Paolo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We investigate the use of artificial local forces governed by physics laws for the spatial formation and coordination of a swarm of VTOL UAVs for ground area surveillance applications. Varying parameter effects are investigated through simulation and a learning algorithm is introduced to optimise the swarms behaviour with respect to self-organising into the optimum formation for a given sized ROI to cover collectively.

Original language	English
Title of host publication	Unknown Host Publication
Pages	1-6
Number of pages	6
Publication status	Published (in print/issue) - 18 Dec 2009
Event	IEEE Symposium: Computational Intelligence for Security and Defence Applications (CISDA) - Ottawa, Canada Duration: 18 Dec 2009 → …

Conference

Conference	IEEE Symposium: Computational Intelligence for Security and Defence Applications (CISDA)
Period	18/12/09 → …

Cite this

@inproceedings{a32a03e8110843088c316742371ccf59,

title = "Autonomous Control Laws for Mobile Robotic Surveillance Swarms",

abstract = "We investigate the use of artificial local forces governed by physics laws for the spatial formation and coordination of a swarm of VTOL UAVs for ground area surveillance applications. Varying parameter effects are investigated through simulation and a learning algorithm is introduced to optimise the swarms behaviour with respect to self-organising into the optimum formation for a given sized ROI to cover collectively.",

author = "Robert Mullen and Dorothy Monekosso and Sarah Barman and Remagnino Paolo",

year = "2009",

month = dec,

day = "18",

language = "English",

isbn = "978-1-4244-3763-4",

pages = "1--6",

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note = "IEEE Symposium: Computational Intelligence for Security and Defence Applications (CISDA) ; Conference date: 18-12-2009",

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AU - Mullen, Robert

AU - Monekosso, Dorothy

AU - Barman, Sarah

AU - Paolo, Remagnino

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Y1 - 2009/12/18

N2 - We investigate the use of artificial local forces governed by physics laws for the spatial formation and coordination of a swarm of VTOL UAVs for ground area surveillance applications. Varying parameter effects are investigated through simulation and a learning algorithm is introduced to optimise the swarms behaviour with respect to self-organising into the optimum formation for a given sized ROI to cover collectively.

AB - We investigate the use of artificial local forces governed by physics laws for the spatial formation and coordination of a swarm of VTOL UAVs for ground area surveillance applications. Varying parameter effects are investigated through simulation and a learning algorithm is introduced to optimise the swarms behaviour with respect to self-organising into the optimum formation for a given sized ROI to cover collectively.

M3 - Conference contribution

SN - 978-1-4244-3763-4

SP - 1

EP - 6

BT - Unknown Host Publication

T2 - IEEE Symposium: Computational Intelligence for Security and Defence Applications (CISDA)

Y2 - 18 December 2009

ER -

Autonomous Control Laws for Mobile Robotic Surveillance Swarms

Abstract

Conference

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Cite this