Neuro-Evolution of Mobile Robot Controller
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Date
2019-06-24
Authors
Sekaj, Ivan
Cíferský, Ladislav
Hvozdík, Milan
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Automation and Computer Science, Brno University of Technology
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Abstract
We present a neuro-evolution design for control of a mobile robot in 2D simulation environment. The mobile robot is moving in unknown environment with obstacles from the start position to the goal position. The trajectory of the robot is controlled by a neural network – based controller which inputs are information from several laser beam sensors. The learning of the neural network controller is based on an evolutionary approach, which is provided by genetic algorithm.
Description
Citation
Mendel. 2018 vol. 25, č. 1, s. 39-42. ISSN 1803-3814
https://mendel-journal.org/index.php/mendel/article/view/76
https://mendel-journal.org/index.php/mendel/article/view/76
Document type
Peer-reviewed
Document version
Published version
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Language of document
en
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Date of acceptance
Defence
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Document licence
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license
http://creativecommons.org/licenses/by-nc-sa/4.0
http://creativecommons.org/licenses/by-nc-sa/4.0