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Evolution of Neuro-Controllers for Robots Alignment using Local Communication
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.
Description
| Title: | Evolution of Neuro-Controllers for Robots Alignment using Local Communication |
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| Author/s: |
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| 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 |
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 |
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| DC Identifier: | https://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 |
