Quadrotor Navigation

Quadrotor navigation research focuses on enabling autonomous drones to navigate complex environments reliably and efficiently, primarily using onboard vision and inertial sensors. Current efforts concentrate on developing robust and generalizable control algorithms, often employing reinforcement learning, vision transformers, and Kalman filtering variants to handle noisy or intermittent sensor data and improve real-time performance. These advancements are crucial for expanding the capabilities of drones in applications such as search and rescue, delivery, and infrastructure inspection, particularly in GPS-denied environments.