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 (eng)
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 (eng)

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