Aerial Vehicle

Aerial vehicles, encompassing diverse platforms from micro aerial vehicles (MAVs) to fixed-wing aircraft and eVTOLs, are a rapidly evolving field focused on enhancing autonomy, safety, and efficiency. Current research emphasizes robust navigation and control in challenging environments (e.g., GPS-denied spaces, steep terrain), leveraging advanced algorithms like deep reinforcement learning, Gaussian processes, and nonlinear dynamic inversion for tasks such as target tracking, mapping, and manipulation. These advancements are driving significant progress in applications ranging from infrastructure inspection and environmental monitoring to urban air mobility and search and rescue operations.