Neural Network Driven Automated Guided Vehicle Platform Development for Industry 4.0 Environment

This work presents the development of a new "Two Wheel" Automated Guided Vehicle (AGV) platform for education, competition, and research that is based on sensor fusion and neural networks (NN) with machine learning for Industry 4.0 applications. The method that is described in the paper de...

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Autores principales:	János Simon, Monika Trojanová*, Alexander Hošovský, József Sárosi
Formato:	article
Lenguaje:	EN
Publicado:	Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2021
Materias:	Automated Guided Vehicle (AGV) Industry 4.0 Machine learning Neural networks (NN) Sensor fusion Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/263d766b8354468ea6699c6b768c5126
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spelling	oai:doaj.org-article:263d766b8354468ea6699c6b768c51262021-11-07T00:35:14ZNeural Network Driven Automated Guided Vehicle Platform Development for Industry 4.0 Environment1330-36511848-6339https://doaj.org/article/263d766b8354468ea6699c6b768c51262021-01-01T00:00:00Zhttps://hrcak.srce.hr/file/383558https://doaj.org/toc/1330-3651https://doaj.org/toc/1848-6339This work presents the development of a new "Two Wheel" Automated Guided Vehicle (AGV) platform for education, competition, and research that is based on sensor fusion and neural networks (NN) with machine learning for Industry 4.0 applications. The method that is described in the paper deals with intelligent path planning and navigation of an AGV that should move safely in an unknown environment. The unknown environment may have obstacles of arbitrary shape and size that can move. Also is described the approach to solving the navigation problem in AGV navigation using a neural networks-based technique based on various types of input sensors. The neural network determines the safe direction for the next point section of the path in the environment while avoiding the nearby obstacles. Simulation examples of the generated path with proposed techniques will be presented.János SimonMonika Trojanová*Alexander HošovskýJózsef SárosiFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek articleAutomated Guided Vehicle (AGV)Industry 4.0Machine learningNeural networks (NN)Sensor fusionEngineering (General). Civil engineering (General)TA1-2040ENTehnički Vjesnik, Vol 28, Iss 6, Pp 1936-1942 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Automated Guided Vehicle (AGV) Industry 4.0 Machine learning Neural networks (NN) Sensor fusion Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Automated Guided Vehicle (AGV) Industry 4.0 Machine learning Neural networks (NN) Sensor fusion Engineering (General). Civil engineering (General) TA1-2040 János Simon Monika Trojanová* Alexander Hošovský József Sárosi Neural Network Driven Automated Guided Vehicle Platform Development for Industry 4.0 Environment
description	This work presents the development of a new "Two Wheel" Automated Guided Vehicle (AGV) platform for education, competition, and research that is based on sensor fusion and neural networks (NN) with machine learning for Industry 4.0 applications. The method that is described in the paper deals with intelligent path planning and navigation of an AGV that should move safely in an unknown environment. The unknown environment may have obstacles of arbitrary shape and size that can move. Also is described the approach to solving the navigation problem in AGV navigation using a neural networks-based technique based on various types of input sensors. The neural network determines the safe direction for the next point section of the path in the environment while avoiding the nearby obstacles. Simulation examples of the generated path with proposed techniques will be presented.
format	article
author	János Simon Monika Trojanová* Alexander Hošovský József Sárosi
author_facet	János Simon Monika Trojanová* Alexander Hošovský József Sárosi
author_sort	János Simon
title	Neural Network Driven Automated Guided Vehicle Platform Development for Industry 4.0 Environment
title_short	Neural Network Driven Automated Guided Vehicle Platform Development for Industry 4.0 Environment
title_full	Neural Network Driven Automated Guided Vehicle Platform Development for Industry 4.0 Environment
title_fullStr	Neural Network Driven Automated Guided Vehicle Platform Development for Industry 4.0 Environment
title_full_unstemmed	Neural Network Driven Automated Guided Vehicle Platform Development for Industry 4.0 Environment
title_sort	neural network driven automated guided vehicle platform development for industry 4.0 environment
publisher	Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
publishDate	2021
url	https://doaj.org/article/263d766b8354468ea6699c6b768c5126
work_keys_str_mv	AT janossimon neuralnetworkdrivenautomatedguidedvehicleplatformdevelopmentforindustry40environment AT monikatrojanova neuralnetworkdrivenautomatedguidedvehicleplatformdevelopmentforindustry40environment AT alexanderhosovsky neuralnetworkdrivenautomatedguidedvehicleplatformdevelopmentforindustry40environment AT jozsefsarosi neuralnetworkdrivenautomatedguidedvehicleplatformdevelopmentforindustry40environment
_version_	1718443598933917696

Neural Network Driven Automated Guided Vehicle Platform Development for Industry 4.0 Environment

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