Drone & UAV Flight Controller Roadmap
Build autonomous aerial systems: aerodynamic forces, IMU attitude estimation, PX4 Autopilot, and MAVROS.
Learn how multirotor drones fly and navigate. Covers quadcopter flight dynamics, brushless motor ESC synchronization, PX4 / ArduPilot flight controllers, optical flow positioning, and GPS-guided waypoint missions.
Roadmap Curriculum & Milestones
Complete each sequential phase to build production-grade robotics competencies.
Phase 1: Multirotor Physics & Attitude Control
Model quadcopter forces, moments of inertia, and cascaded PID attitude control loops (Rate -> Attitude -> Position).
Quadcopter Dynamics & Cascaded PID Flight Controller
Derive non-linear equations of motion for multirotors and tune angular rate and attitude PID controllers.
- Newton-Euler Flight Equations
- Motor Thrust & Torque Modeling
- Cascaded PID Tuning
- Complimentary & Madgwick Filter
- Software-in-the-loop (SITL) simulated flight controller in Python
Phase 2: Autonomous Missions with PX4, MAVLink & ROS 2
Bridge flight controllers to onboard companion computers (Raspberry Pi/Jetson) via MAVROS and micro-XRCE-DDS.
Offboard Autonomous Control with ROS 2 & PX4-Autopilot
Execute offboard trajectory tracking, optical flow indoor hovering, and precision landing on moving targets.
- PX4 Architecture
- MAVLink & micro-XRCE-DDS Bridge
- Offboard Position Setpoint Mode
- Geofencing & Failsafe Logic
- GPS-denied indoor autonomous inspection drone using visual fiducials
Ready to begin Phase 1?
Dive into our free hands-on tutorials and build your first physical prototype.