Open Access

ARTICLE

Vision Navigation Based PID Control for Line Tracking Robot

Rihem Farkh^*, Khaled Aljaloud

College of Engineering, Muzahimiyah Branch, King Saud University, P.O. Box 2454, Riyadh, 11451, Saudi Arabia

* Corresponding Author: Rihem Farkh. Email:

Intelligent Automation & Soft Computing 2023, 35(1), 901-911. https://doi.org/10.32604/iasc.2023.027614

Received 21 January 2022; Accepted 13 March 2022; Issue published 06 June 2022

Abstract

In a controlled indoor environment, line tracking has become the most practical and reliable navigation strategy for autonomous mobile robots. A line tracking robot is a self-mobile machine that can recognize and track a painted line on the floor. In general, the path is set and can be visible, such as a black line on a white surface with high contrasting colors. The robot’s path is marked by a distinct line or track, which the robot follows to move. Several scientific contributions from the disciplines of vision and control have been made to mobile robot vision-based navigation. Localization, automated map generation, autonomous navigation and path tracking is all becoming more frequent in vision applications. A visual navigation line tracking robot should detect the line with a camera using an image processing technique. The paper focuses on combining computer vision techniques with a proportional-integral-derivative (PID) controller for automatic steering and speed control. A prototype line tracking robot is used to evaluate the proposed control strategy.

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Keywords

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