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| Titre : | AI-Driven Mobile Robot Navigation: Precision in Road Following and Objective Pursuit | | Type de document : | document multimédia | | Auteurs : | Manal Benaidja, Auteur ; Assia Benkouider, Auteur ; Ibrahim Khalil Oubbati, Directeur de thèse | | Editeur : | Laghouat : Université Amar Telidji - Département d'électronique | | Année de publication : | 2024 | | Importance : | 60p. | | Accompagnement : | cd rom | | Note générale : | Automation & Industrial Computing
| | Langues : | Anglais | | Mots-clés : | Mobile Robot ROS Robot operating system AI Artificial intelligence LiDar PID controller . | | Résumé : | 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. | | note de thèses : | memoire de master en Electronique |
AI-Driven Mobile Robot Navigation: Precision in Road Following and Objective Pursuit [document multimédia] / Manal Benaidja, Auteur ; Assia Benkouider, Auteur ; Ibrahim Khalil Oubbati, Directeur de thèse . - Laghouat : Université Amar Telidji - Département d'électronique, 2024 . - 60p. + cd rom. Automation & Industrial Computing
Langues : Anglais | Mots-clés : | Mobile Robot ROS Robot operating system AI Artificial intelligence LiDar PID controller . | | Résumé : | 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. | | note de thèses : | memoire de master en Electronique |
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| the 09-203 | the 09-203 | CD | BIBLIOTHEQUE DE FACULTE DE TECHNOLOGIE | théses (tec) | Disponible |
