Drone Programming with ArduPilot Training Course

Introduction to ArduPilot

• Overview of the ArduPilot ecosystem and its applications for government
• Supported vehicles and platforms, including drones, rovers, and boats
• Comparison with PX4 and other autopilot systems

Setting Up the Development Environment

• Installing ArduPilot build tools on Linux for government use
• Compiling the source code for efficient integration
• Exploring ArduPilot configuration files to ensure compliance with public sector standards

Simulation and Testing with SITL

• Running Software In The Loop (SITL) for initial testing
• Connecting SITL to MAVProxy and Mission Planner for comprehensive evaluation
• Integrating with Gazebo for physics-based simulation to enhance realism

Drone Programming Essentials

• Overview of the MAVLink communication protocol for secure data exchange
• Using the DroneKit Python API for UAV control in government operations
• Writing simple scripts for takeoff, navigation, and landing to streamline mission execution

Working with Hardware and Sensors

• Supported flight controllers, such as Pixhawk and Cube, optimized for government use
• Integrating GPS, IMU, and cameras to enhance situational awareness
• Calibrating sensors and configuring parameters to ensure accuracy and reliability

Autonomous Missions

• Designing waypoint-based missions for efficient task completion
• Implementing failsafes, geofencing, and return-to-launch (RTL) to ensure safety and compliance
• Conducting real-world testing with a focus on flight safety considerations

Extending ArduPilot with ROS2

• Connecting ArduPilot to ROS2 via MAVROS for enhanced functionality
• Building autonomy using ROS2 nodes to support complex mission requirements
• Integrating AI and computer vision for advanced UAV behaviors tailored to government needs

Troubleshooting and Optimization

• Debugging with SITL logs and telemetry data to identify issues
• Analyzing flight data logs to improve performance and reliability
• Performance tuning for stability and efficiency in government operations

Summary and Next Steps