UAV Navigation in Complex Environments Using AI Algorithms


UAV Navigation in Complex Environments Using AI Algorithms


Descriptif du sujet

This project aims to enhance Unmanned Aerial Vehicle (UAV) navigation in complex environments by implementing advanced artificial intelligence (AI) algorithms. It focuses on developing AI-based solutions for real-time obstacle detection, avoidance, and adaptive path planning. By leveraging machine learning and deep learning techniques, this research will enable UAVs to autonomously navigate and make informed decisions in challenging and dynamic environments, with applications spanning from disaster response to environmental monitoring. The project will involve algorithm development, integration, and field testing, ultimately contributing to safer and more efficient UAV operations in complex settings.


Profil recherché

We are seeking a highly motivated graduate student with a Master's degree in Robotics Engineering or a closely related field. The ideal candidate should possess a strong background in machine learning, along with a passion for robotics and autonomous systems. Proficiency in programming languages such as Python and experience with AI frameworks and libraries are essential. The successful candidate will work closely with the project's director to advance the understanding and application of AI in UAV navigation.


Regestretion procedure

To submit an application file, please consult this link
Application deadline    : 10 November 2023
Duration of the thesis  : 3 years

Co-director : Prof. Bader Kari


Directeur de thèse
Dr. Alae Ammour