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Evolution of Neuro-Controllers for Robots Alignment using Local Communication
Cita
Gutiérrez Martín, Álvaro 
ORCID: https://orcid.org/0000-0001-8926-5328, 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.
ORCID: https://orcid.org/0000-0001-8926-5328, 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.
Descripción
| Título: | Evolution of Neuro-Controllers for Robots Alignment using Local Communication |
|---|---|
| Autor/es: |
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| Tipo de Documento: | Artículo |
| Título de Revista/Publicación: | International Journal of Advanced Robotic Systems |
| Fecha: | Marzo 2009 |
| ISSN: | 1729-8806 |
| Volumen: | 6 |
| Número: | 1 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | evolutionary robotics; local communication; infrared signalling |
| Escuela: | E.T.S.I. Telecomunicación (UPM) |
| Departamento: | Tecnologías Especiales Aplicadas a la Aeronáutica [hasta 2014] |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
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.
Más información
| ID de Registro: | 5383 |
|---|---|
| Identificador DC: | https://oa.upm.es/5383/ |
| Identificador OAI: | oai:oa.upm.es:5383 |
| URL Oficial: | http://www.ars-journal.com/ |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 09 Dic 2010 12:17 |
| Ultima Modificación: | 20 Abr 2016 14:12 |
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