Micro Aerial Vehicle

Micro Aerial Vehicles (MAVs) are small, unmanned aerial systems with diverse applications, driving research focused on improving autonomy, navigation, and safety. Current research emphasizes robust localization and navigation in GPS-denied environments using sensor fusion (e.g., visual-inertial odometry with LiDAR or 5G), advanced control algorithms (e.g., model predictive control, deep reinforcement learning), and efficient path planning. These advancements are significant for various sectors, including infrastructure inspection, disaster response, and precision payload delivery, by enabling safer, more efficient, and autonomous operation in complex environments.