AI-Driven Mobile Robot Navigation: Precision in Road Following and Objective Pursuit
| dc.contributor.author | BENAIDJA, Manal | |
| dc.contributor.author | BENKOUIDER, Assia | |
| dc.contributor.author | Oubbati, Ibrahim Khalil | |
| dc.date.accessioned | 2025-02-16T15:02:13Z | |
| dc.date.available | 2025-02-16T15:02:13Z | |
| dc.date.issued | 2024 | |
| dc.description | Automation & Industrial Computing | |
| dc.description.abstract | 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. | |
| dc.identifier.uri | https://dspace.lagh-univ.dz/handle/123456789/12494 | |
| dc.language.iso | en | |
| dc.publisher | Université Amar Thelidji- Laghouat FACULTE: DE TECHNOLOGIE DÉPARTEMENT Électronique | |
| dc.title | AI-Driven Mobile Robot Navigation: Precision in Road Following and Objective Pursuit | |
| dc.type | Thesis |
