High-Level Behavior Regulation for Multi-Robot Systems - Archive ouverte HAL Access content directly
Conference Papers Year : 2014

High-Level Behavior Regulation for Multi-Robot Systems


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.
Fichier principal
Vignette du fichier
Delecluse_13054.pdf (377.35 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01136392 , version 1 (27-03-2015)



Martin Delecluse, Stephane Sanchez, Sylvain Cussat-Blanc, N. Schneider, Jean-Baptiste Welcomme. High-Level Behavior Regulation for Multi-Robot Systems. Genetic and Evolutionary Computation COnference - GECCO 2014, Jul 2014, Vancouver, Canada. pp. 29-30, ⟨10.1145/2598394.2598454⟩. ⟨hal-01136392⟩
67 View
114 Download



Gmail Facebook Twitter LinkedIn More