Quadrotor UAV

Quadrotor UAVs are unmanned aerial vehicles with four rotors, primarily researched for their agile maneuverability and versatile applications. Current research emphasizes advancements in control algorithms, including model predictive control (MPC), reinforcement learning (RL), and geometric control methods, often coupled with data-driven system identification techniques and physics-informed neural networks for improved model accuracy and robustness. These improvements are driving progress in areas such as autonomous navigation, precise trajectory tracking, secure control against cyberattacks, and cooperative multi-quadrotor systems for tasks like payload transport and environmental monitoring, impacting fields ranging from aerial robotics to environmental science.