eprintid: 5383
rev_number: 15
eprint_status: archive
userid: 1903
dir: disk0/00/00/53/83
datestamp: 2010-12-09 12:17:38
lastmod: 2016-04-20 14:12:34
status_changed: 2010-12-09 12:17:38
type: article
metadata_visibility: show
item_issues_count: 0
creators_name: Gutiérrez Martín, Álvaro
creators_name: Tuci, Elio
creators_name: Campo, Alexandre
title: Evolution of Neuro-Controllers for Robots Alignment using Local Communication
ispublished: pub
subjects: telecomunicaciones
subjects: electronica
keywords: evolutionary robotics; local communication; infrared signalling
abstract: 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.
date: 2009-03
date_type: published
publisher: In-Tech
official_url: http://www.ars-journal.com/
full_text_status: public
publication: International Journal of Advanced Robotic Systems
volume: 6
number: 1
pagerange: 25-34
institution: Telecomunicacion
department: Tecnologias_Especiales
refereed: TRUE
issn: 1729-8806
rights: by-nc-nd
citation:   Gutiérrez Martín, Álvaro and Tuci, Elio and Campo, Alexandre  (2009).  Evolution of Neuro-Controllers for Robots Alignment using Local Communication.   "International Journal of Advanced Robotic Systems", v. 6  (n. 1);   pp. 25-34.  ISSN 1729-8806.    
document_url: https://oa.upm.es/5383/1/INVE_MEM_2009_72782.pdf