UAV Navigation in Complex Environments Using AI Algorithms
UAV Navigation in Complex Environments Using AI Algorithms
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.
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