Quadrotor Trajectory

Quadrotor trajectory control focuses on enabling autonomous drones to precisely follow desired paths, a crucial aspect for various applications. Current research emphasizes improving robustness against external disturbances like wind, using techniques such as high-gain disturbance observers and data-augmented models incorporating recursive Gaussian processes or Gaussian processes for real-time adaptation. Advanced control algorithms, including model predictive control and novel approaches based on contraction theory and distributional reinforcement learning, are being developed to enhance accuracy and stability. These advancements are vital for improving the reliability and performance of autonomous quadrotor systems in complex and unpredictable environments.