The author establishes a safety-critical control framework for fixed-wing aircraft, focusing on collision avoidance and geofencing tasks using Control Barrier Functions (CBFs) to ensure safe behavior.
The author presents a safety-critical control framework leveraging learning-based switching between multiple backup controllers to ensure robot safety under bounded control inputs while adhering to driver intention.