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High-Level Behavior Regulation for Multi-Robot Systems

Delecluse, Martin and Sanchez, Stéphane and Cussat-Blanc, Sylvain and Schneider, Nicolas and Welcomme, Jean-Baptiste High-Level Behavior Regulation for Multi-Robot Systems. (2014) In: Genetic and Evolutionary Computation COnference - GECCO 2014, 12 July 2014 - 16 July 2014 (Vancouver, Canada).

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Official URL: http://dx.doi.org/10.1145/2598394.2598454

Abstract

We propose a new collaborative guidance platform for a team of robots that should protect a fixed ground target from one or several threats. The team of robots performs high-level behaviors. These are hand-coded since they consist in driving the robots to some given position. However, deciding when and how to use these behaviors is much more challenging. Scripting high-level interception strategies is a complex problem and applicable to few specific application contexts. We propose to use a gene regulatory network to regulate high-level behaviors and to enable the emergence of efficient and robust interception strategies.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to ACM editor. The definitive version is available at http://dl.acm.org/citation.cfm?id=2598454
HAL Id:hal-01136392
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > European Aeronautic Defence and Space company - EADS (FRANCE)
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Deposited By: IRIT IRIT
Deposited On:27 Mar 2015 09:51

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