Addressing the Movement of a Freescale Robotic Car Using Neural Network

Horváth Dušan () and Cuninka Peter ()
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Horváth Dušan: Institute of Applied Informatics, Automation and Mechatronics, Faculty of Materials Science and Technology in Trnava, Slovak University of Technology in Bratislava, Ulica Jána Bottu 2781/25, 917 24 Trnava, Slovak Republic
Cuninka Peter: Institute of Applied Informatics, Automation and Mechatronics, Faculty of Materials Science and Technology in Trnava, Slovak University of Technology in Bratislava, Ulica Jána Bottu 2781/25, 917 24 Trnava, Slovak Republic

Research Papers Faculty of Materials Science and Technology Slovak University of Technology, 2016, vol. 24, issue 39, 23-31

Abstract: This article deals with the management of a Freescale small robotic car along the predefined guide line. Controlling of the direction of movement of the robot is performed by neural networks, and scales (memory) of neurons are calculated by Hebbian learning from the truth tables as learning with a teacher. Reflexive infrared sensors serves as inputs. The results are experiments, which are used to compare two methods of mobile robot control - tracking lines.

Keywords: control subsystem of mobile robot; PID controller; neural networks; Hebbian learning (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:repfms:v:24:y:2016:i:39:p:23-31:n:3

DOI: 10.1515/rput-2016-0013

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