AI-Driven Mobile Robot Navigation: Precision in Road Following and Objective Pursuit

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Université Amar Thelidji- Laghouat FACULTE: DE TECHNOLOGIE DÉPARTEMENT Électronique

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In recent years, mobile robots have become essential in various fields due to their ability to perform tasks intelligently and efficiently. This project aims to control a two-wheeled mobile robot and make it follow a path using artificial intelligence. Sensors like cameras and LiDAR are key components of this project. We used specific algorithms to control the robot with a keyboard and joystick and enabled autonomous navigation with a camera and deep learning techniques. Our goal is to develop a mobile robot that can accurately follow a set path, map its surroundings, and move smoothly without issues using a PID controller. The experimental results showed good performance in road following and autonomous navigation.

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Automation & Industrial Computing

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