Aerial System

Aerial systems research focuses on developing and improving unmanned aerial vehicles (UAVs) for diverse applications, encompassing autonomous navigation, communication, and payload delivery. Current research emphasizes enhancing efficiency and robustness through advanced algorithms like Q-learning for optimized routing and Bayesian optimization for precise localization, alongside modular designs for increased functionality and fault tolerance. These advancements are driving progress in various fields, including precision agriculture (e.g., pest detection), search and rescue, and 3D mapping, by providing efficient and adaptable aerial platforms for data acquisition and task execution.