Localizing and Tracking Targets with a Reactive Multi-Agent System

Franck Gechter 1 Vincent Chevrier 1 François Charpillet 1
1 MAIA - Autonomous intelligent machine
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Localizing and Tracking an object, with both mobile or static sensors, is a complex but essential task when we want to use moving robots in a structured and uncertain environment. We propose in this paper a swarm approach for addressing this issue using an interaction paradigm inspired from Physics. The combination of different interactions results in a self-organised process that builds patterns interpreted as solutions of the problem. After a description of the model, this paper analyses the properties and the performance of our device through various experiments. In particular, a comparison with the standard Kalman filtering method demonstrates the relevancy of our approach.
Mots-clés : systeme multi-agent swarm intelligence multi-agent system localization localisation intelligence en essaim
Type de document :
Communication dans un congrès
Third International Joint Conference on Autonomous Agents and Multi-Agent Systems - AAMAS'04, 2004, New York, USA, ACM, pp.1488-1489, 2004
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Contributeur : Publications Loria <>
Soumis le : mardi 26 septembre 2006 - 10:13:00
Dernière modification le : jeudi 11 janvier 2018 - 06:19:51

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  • HAL Id : inria-00099970, version 1

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INRIA | LORIA | UNIV-LORRAINE

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Franck Gechter, Vincent Chevrier, François Charpillet. Localizing and Tracking Targets with a Reactive Multi-Agent System. Third International Joint Conference on Autonomous Agents and Multi-Agent Systems - AAMAS'04, 2004, New York, USA, ACM, pp.1488-1489, 2004. 〈inria-00099970〉

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