Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/53634
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Type: Journal article
Title: A coupled reaction-diffusion field model for perception-action cycle with applications to robot navigation
Author: Aidman, E.
Ivancevic, V.
Jennings, A.
Citation: International Journal of Intelligent Defence Support Systems, 2008; 1(2):93-115
Publisher: Inderscience Publishers
Issue Date: 2008
ISSN: 1755-1587
1755-1595
Statement of
Responsibility: 
Eugene Aidman, Vladimir Ivancevic and Andrew Jennings
Abstract: A generalised reaction-diffusion field model for robot navigation is proposed. It utilises two mutually antagonistic neural fields counteracting in patterns similar to that of flexor/extensor muscles controlling the movements in major joints in the human body. Combining local activation and generalised inhibition represented by Amari's neural field equations and extended by the Fitzhugh-Nagumo and Wilson-Cowan activator-inhibitor systems, results in the type of neural attractor dynamics that may lead to spontaneous oscillatory pattern formation. Preliminary simulation data suggest that this approach has utility in enabling a team of autonomous vehicles to navigate in a crowded pedestrian crossing
Keywords: reaction-diffusion systems
coupled activator-inhibitor fields
dynamical grid
robot navigation
crowded environments
local activation
generalised inhibition
neural field equations
neural attractor dynamics
autonomous vehicles
pedestrian crossing
mobile robots
neural networks
Description: Copyright © 2008 Inderscience Enterprises Limited. All rights reserved.
DOI: 10.1504/IJIDSS.2008.021969
Published version: http://dx.doi.org/10.1504/ijidss.2008.021969
Appears in Collections:Aurora harvest 5
Psychology publications

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