Neural Control System in Obstacle Avoidance in Mobile Robots Using Ultrasonic Sensors

A. Medina-Santiago; J. L. Camas-Anzueto; J. A. Vazquez-Feijoo; H. R. Hernández-de León; R. Mota-Grajales

doi:10.1016/S1665-6423(14)71610-4

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Published: Feb 1, 2014

DOI: https://doi.org/10.1016/S1665-6423(14)71610-4

Keywords:

neural control system, real-time implementation, navigation environment, obstacle avoidance in mobile robots.

A. Medina-Santiago

J. L. Camas-Anzueto

J. A. Vazquez-Feijoo

H. R. Hernández-de León

R. Mota-Grajales

Abstract

This paper presents the development and implementation of neural control systems in mobile robots in obstacleavoidance in real time using ultrasonic sensors with complex strategies of decision-making in development (Matlab andProcessing). An Arduino embedded platform is used to implement the neural control for field results.

How to Cite

Medina-Santiago, A., Camas-Anzueto, J. L., Vazquez-Feijoo, J. A., Hernández-de León, H. R., & Mota-Grajales, R. (2014). Neural Control System in Obstacle Avoidance in Mobile Robots Using Ultrasonic Sensors. Journal of Applied Research and Technology, 12(1). https://doi.org/10.1016/S1665-6423(14)71610-4

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Vol. 12 No. 1

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