Uncrewed Aerial Vehicle

Uncrewed aerial vehicles (UAVs) are rapidly evolving, driven by research focused on enhancing their capabilities for diverse applications, from wildfire detection to autonomous navigation in challenging environments. Current research emphasizes improving control algorithms (e.g., nonlinear model predictive control, reinforcement learning), developing robust localization methods (integrating GNSS, IMU, and terrain referencing), and addressing safety and security concerns through simulation and advanced modeling techniques. These advancements are crucial for expanding UAV deployment in various sectors, including search and rescue, infrastructure inspection, and precision agriculture, while simultaneously mitigating risks associated with their operation.