Generación de trayectorias para un robot móvil empleando redes neuronales
DOI:
https://doi.org/10.22517/23447214.3155Abstract
En este artículo se presenta una metodología de navegación de robots móviles en ambientes estructurados, utilizando Redes Neuronales Artificiales del tipo propagación hacia atrás. Para la generación de la trayectoria optima se realiza la clasificación de superficies típicas de ambientes de robótica móvil, utilizando la base de datos obtenida de un anillo de sensores ultrasónicos. Se diseña las interfaces gráficas, tanto para generar las bases de datos de las superficies, como para generar la trayectoria optima que le permita al robot desplazarse de un punto inicial a un punto final llamado objetivo.Downloads
Downloads
-
Vistas(Views): 1169
- PDF (Español (España)) Descargas(Downloads): 686
Published
How to Cite
Issue
Section
License
Copyrights
The journal is free open access. The papers are published under the Creative Commons Attribution / Attribution-NonCommercial-NoDerivatives 4.0 International - CC BY-NC-ND 4.0 license. For this reason, the author or authors of a manuscript accepted for publication will yield all the economic rights to the Universidad Tecnológica of Pereira free of charge, taking into account the following:
In the event that the submitted manuscript is accepted for publication, the authors must grant permission to the journal, in unlimited time, to reproduce, to edit, distribute, exhibit and publish anywhere, either by means printed, electronic, databases, repositories, optical discs, Internet or any other required medium. In all cases, the journal preserves the obligation to respect, the moral rights of the authors, contained in article 30 of Law 23 of 1982 of the Government Colombian.
The transferors using ASSIGNMENT OF PATRIMONIAL RIGHTS letter declare that all the material that is part of the article is entirely free of copyright. Therefore, the authors are responsible for any litigation or related claim to intellectual property rights. They exonerate of all responsibility to the Universidad Tecnológica of Pereira (publishing entity) and the Scientia et Technica journal. Likewise, the authors accept that the work presented will be distributed in free open access, safeguarding copyright under the Creative Commons Attribution / Recognition-NonCommercial-NoDerivatives 4.0 International - https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es license.