Autonomous aerial systems are redefining logistics, agriculture, and security.

This article reviews the core concepts behind multi-rotor aerodynamics, autopilot telemetry, and path-planning algorithms. We present results from our drone lab projects, showcasing how AI flight controllers process real-time sensor data to coordinate multi-drone movements and perform obstacle avoidance.

Students can download our open-source drone flight simulator to practice programming custom PID controllers.