Autonomous safe landing of multirotor aerial vehicle in presence of fault

The autonomous flight of unmanned aerial vehicles (UAVs) stands at the forefront of modern aerospace innovation, where advances in guidance, navigation, and control (GNC) are reshaping their operational potential. Among various reliability challenges, motor faults remain one of the most common and safety-critical issues affecting multirotor aerial systems. The talk will then present recent experimental advances in intelligent fault detection and fault-tolerant flight control, demonstrating how data-driven and model-based methods can sustain flight stability and performance following motor degradation or failure. Furthermore, it will introduce vision-based guidance and landing techniques, where image processing, optical flow, and machine learning approaches are combined to enable precise autonomous landing — even in GPS-denied environments.
Bridging theory and experimentation, this seminar provides insights into the next generation of resilient and intelligent UAV systems, designed to ensure mission continuity and flight safety in uncertain operational conditions.