This thesis presents a novel approach that enhances UAV-based inspections by integrating control and learning approaches. The research focuses on developing a robust system capable of effective visual servoing where traditional methods struggle.
The proposed method will improve the safety and efficiency of UAV inspections, particularly in challenging scenarios with scarce visibility.