Controlling a Small Mobile 3-Pi Robot Movement in a Maze Via the Neural Network Using Back-Propagation Learning Method

Horváth Dušan () and Červeňanská Zuzana ()
Additional contact information
Horváth Dušan: Slovak University Of Technology In Bratislava, Faculty Of Materials Science And Technology In Trnava, Institute Of Applied Informatics, Automation And Mechatronics, Ulica Jána Bottu Č. 2781/25, 917 24 Trnava
Červeňanská Zuzana: Slovak University Of Technology In Bratislava, Faculty Of Materials Science And Technology In Trnava, Institute Of Applied Informatics, Automation And Mechatronics, Ulica Jána Bottu Č. 2781/25, 917 24 Trnava

Research Papers Faculty of Materials Science and Technology Slovak University of Technology, 2021, vol. 29, issue 49, 43-50

Abstract: The contribution is focused on technical implementation of controlling a small mobile 3Pi robot in a maze along a predefined guide line where the control of the acquired direction of the robot’s movement was provided by a neural network. The weights (memory) of the neuron were calculated using a feedforward neural network learning via the Back-propagation method. This article fastens on the paper by the title “Movement control of a small mobile 3-pi robot in a maze using artificial neural network”, where Hebbian learning was used for a single-layer neural network. The reflectance infra-red sensors performed as input sensors. The result of this research is the evaluation based on the experiments that served to compare different training sets with the learning methods when moving a mobile robot in a maze.

Keywords: Mobile robot´s control subsystem; navigation; neural network; maze solving robotic vehicle; back-propagation (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.2478/rput-2021-0023 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:vrs:repfms:v:29:y:2021:i:49:p:43-50:n:5

DOI: 10.2478/rput-2021-0023

Access Statistics for this article

Research Papers Faculty of Materials Science and Technology Slovak University of Technology is currently edited by Kvetoslava Rešetová

More articles in Research Papers Faculty of Materials Science and Technology Slovak University of Technology from Sciendo
Bibliographic data for series maintained by Peter Golla ().