Course Outline

Introduction to ArduPilot

  • Overview of ArduPilot ecosystem and applications
  • Supported vehicles and platforms (drones, rovers, boats)
  • Comparison with PX4 and other autopilot systems

Setting Up the Development Environment

  • Installing ArduPilot build tools on Linux
  • Compiling the source code
  • Exploring ArduPilot configuration files

Simulation and Testing with SITL

  • Running Software In The Loop (SITL)
  • Connecting SITL to MAVProxy and Mission Planner
  • Integrating with Gazebo for physics-based simulation

Drone Programming Essentials

  • Overview of MAVLink communication protocol
  • Using DroneKit Python API for UAV control
  • Writing simple scripts for takeoff, navigation, and landing

Working with Hardware and Sensors

  • Supported flight controllers (Pixhawk, Cube, etc.)
  • Integrating GPS, IMU, and cameras
  • Calibrating sensors and configuring parameters

Autonomous Missions

  • Designing waypoint-based missions
  • Failsafes, geofencing, and return-to-launch (RTL)
  • Real-world testing and flight safety considerations

Extending ArduPilot with ROS2

  • Connecting ArduPilot to ROS2 via MAVROS
  • Building autonomy with ROS2 nodes
  • Integrating AI and computer vision for advanced UAV behaviors

Troubleshooting and Optimization

  • Debugging with SITL logs and telemetry
  • Analyzing flight data logs
  • Performance tuning for stability and efficiency

Summary and Next Steps

Requirements

  • Experience with the Linux command line
  • Programming experience in Python or C++
  • Basic understanding of robotics or drone flight principles

Audience

  • Developers
  • Robotics engineers
  • Technical researchers interested in UAV development
 14 Hours

Delivery Options

Private Group Training

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  • Training scheduled on a date of your choice
  • Delivered online, onsite/classroom or hybrid by experts sharing real world experience

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