<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></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.

Addressing the Movement of a Freescale Robotic Car Using Neural Network

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

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Addressing the Movement of a Freescale Robotic Car Using Neural Network"}

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...

Addressing the Movement of a Freescale Robotic Car Using Neural Network

Publié en ligne: 04 avr. 2017

Pages: 23 - 31

DOI: https://doi.org/10.1515/rput-2016-0013

Mots clés
control subsystem of mobile robot, PID controller, neural networks, Hebbian learning

© 2016 Dušan Horváth et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Addressing the Movement of a Freescale Robotic Car Using Neural Network

Publié en ligne: 04 avr. 2017

Pages: 23 - 31

DOI: https://doi.org/10.1515/rput-2016-0013

Mots cléscontrol subsystem of mobile robot, PID controller, neural networks, Hebbian learning

© 2016 Dušan Horváth et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
control subsystem of mobile robot, PID controller, neural networks, Hebbian learning