Evolution of Neuro-Controllers for Robots' Alignment using Local Communication

Evolution of Neuro-Controllers for Robots' Alignment using Local Communication

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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 ori...

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Main Authors: Álvaro Gutiérrez, Elio Tuci, Alexandre Campo
Format: Article
Language:English
Published: SAGE Publishing 2009-03-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.5772/6766
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spelling doaj-c06ea51e21754596a043e2831b3051b22020-11-25T03:06:44ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142009-03-01610.5772/676610.5772_6766Evolution of Neuro-Controllers for Robots' Alignment using Local CommunicationÁlvaro GutiérrezElio TuciAlexandre CampoIn 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.https://doi.org/10.5772/6766
collection DOAJ
language English
format Article
sources DOAJ
author Álvaro Gutiérrez
Elio Tuci
Alexandre Campo
spellingShingle Álvaro Gutiérrez
Elio Tuci
Alexandre Campo
Evolution of Neuro-Controllers for Robots' Alignment using Local Communication
International Journal of Advanced Robotic Systems
author_facet Álvaro Gutiérrez
Elio Tuci
Alexandre Campo
author_sort Álvaro Gutiérrez
title Evolution of Neuro-Controllers for Robots' Alignment using Local Communication
title_short Evolution of Neuro-Controllers for Robots' Alignment using Local Communication
title_full Evolution of Neuro-Controllers for Robots' Alignment using Local Communication
title_fullStr Evolution of Neuro-Controllers for Robots' Alignment using Local Communication
title_full_unstemmed Evolution of Neuro-Controllers for Robots' Alignment using Local Communication
title_sort evolution of neuro-controllers for robots' alignment using local communication
publisher SAGE Publishing
series International Journal of Advanced Robotic Systems
issn 1729-8814
publishDate 2009-03-01
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.
url https://doi.org/10.5772/6766
work_keys_str_mv AT alvarogutierrez evolutionofneurocontrollersforrobotsalignmentusinglocalcommunication
AT eliotuci evolutionofneurocontrollersforrobotsalignmentusinglocalcommunication
AT alexandrecampo evolutionofneurocontrollersforrobotsalignmentusinglocalcommunication
_version_ 1724672816061612032

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