Application of multilayer neural networks for controlling a line-following robot in robotic competitions

• Autorzy: Minaya Cesar , Rosero Ricardo , Zambrano Marcelo , Catota Pablo

Identyfikatory

DOI

10.14313/JAMRIS/1‐2024/4

• Języki publikacji: EN

Abstrakty

EN

The paper presents an approach for controlling a line- following robot using artificial intelligence algorithms. This study aims to evaluate and validate the design and implementation of a competitive line-following robot based on multilayer neural networks for controlling the torque on the wheels and regulating the movements. The configuration of the line-following robot consists of a chassis with a set of infrared sensors that can detect the line on the track and provide input data to the neural network. The performance of the line-following robot on a running track with different configurations is then evaluated. The results show that the line-following robot responded more efficiently with an artificial neural network control algorithm than with a PID control or fuzzy control algorithm. At the same time, the reaction and correction time of the robot to errors on the track is earlier by about 0.1 seconds. In conclusion, the capabilities of a neural network allow the line-following robot to adapt to environmental conditions and overcome obstacles on the track more effectively.

Słowa kluczowe

EN

robotics; line-following robot; artificial neural networks

• Wydawca: Łukasiewicz Industrial Research Institute for Automation and Measurements PIAP
• Czasopismo: Journal of Automation Mobile Robotics and Intelligent Systems
• Rocznik: 2024
• Tom: Vol. 18, No. 1
• Strony: 35--42
• Opis fizyczny: Bibliogr. 31 poz., rys.

Twórcy

autor

Minaya Cesar

• Department of Electronics, Instituto Tecnológico Superior Rumiñahui, Sangolquí, 171103, Ecuador

• https://orcid.org/0000-0002-8659-8626

autor

Rosero Ricardo

• Department of Electronics, Instituto Tecnológico Superior Rumiñahui, Sangolquí, 171103, Ecuador

autor

Zambrano Marcelo

• Department of Electronics, Instituto Tecnológico Superior Rumiñahui, Sangolquí, 171103, Ecuador

autor

Catota Pablo

• Department of Electronics, Instituto Tecnológico Superior Rumiñahui, Sangolquí, 171103, Ecuador

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