UAV Design

Unmanned Aerial Vehicle (UAV) design research focuses on creating efficient, versatile, and robust aerial platforms for diverse applications. Current efforts concentrate on improving autonomous flight control through techniques like model predictive control and deep reinforcement learning, enhancing perception capabilities using computer vision and sensor fusion (including visual gyroscopes and sound-based fault detection), and optimizing designs for specific tasks via generative neural networks and modular hardware architectures. These advancements are driving improvements in agricultural applications, infrastructure inspection, and delivery systems, while also contributing to fundamental understanding of aerial robotics and control systems.