title: Evolution of Neuro-Controllers for Robots Alignment using Local Communication
creator: Gutiérrez Martín, Álvaro
creator: Tuci, Elio
creator: Campo, Alexandre
subject: Telecommunications
subject: Electronics
description: In this paper, we use artificial evolution to design homogeneous neural network controller for groups of robots required to align. Aligning refers to the process by which the robots managed to head towards a common arbitrary and autonomously chosen direction starting from initial randomly chosen orientations. The cooperative interactions among robots require local communications that are physically implemented using infrared signalling. We study the performance of the evolved controllers, both in simulation and in reality for different group sizes. In addition, we analyze the most successful communication strategy developed using artificial evolution.
publisher: E.T.S.I. Telecomunicación (UPM)
rights: https://creativecommons.org/licenses/by-nc-nd/3.0/es/
date: 2009-03
type: info:eu-repo/semantics/article
type: Article
source: International Journal of Advanced Robotic Systems, ISSN 1729-8806, 2009-03, Vol. 6, No. 1
type: PeerReviewed
format: application/pdf
language: spa
relation: http://www.ars-journal.com/
rights: info:eu-repo/semantics/openAccess
identifier: https://oa.upm.es/5383/