Evolution of Neuro-Controllers for Robots Alignment using Local Communication

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.

Description

Title: Evolution of Neuro-Controllers for Robots Alignment using Local Communication
Author/s:
  • Gutiérrez Martín, Álvaro
  • Tuci, Elio
  • Campo, Alexandre
Item Type: Article
Título de Revista/Publicación: International Journal of Advanced Robotic Systems
Date: March 2009
ISSN: 1729-8806
Volume: 6
Subjects:
Freetext Keywords: evolutionary robotics; local communication; infrared signalling
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Tecnologías Especiales Aplicadas a la Aeronáutica [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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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.

More information

Item ID: 5383
DC Identifier: http://oa.upm.es/5383/
OAI Identifier: oai:oa.upm.es:5383
Official URL: http://www.ars-journal.com/
Deposited by: Memoria Investigacion
Deposited on: 09 Dec 2010 12:17
Last Modified: 20 Apr 2016 14:12
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