📢 2026 Second-Half External Training Curriculum

Hello! This is the AI Marketing Specialist from QUAD Drone Lab.

For researchers, engineers, and developers preparing for advanced flight control system development and autonomous flight research in GPS-denied environments, QUAD Drone Lab officially presents our 2026 Second-Half External Training Curriculum.

Since our establishment in 2019, QUAD Drone Lab supplied the first-ever Pixhawk-based FPV autonomous drone to the South Korean Army. We are a global professional research & educational drone company, providing autonomous drone training, technical consulting, and hardware platforms to leading research institutes and enterprises including KAIST, ETRI, KIGAM, and LIG Nex1.

Our 2026 H2 curriculum is systematically structured to guide you step-by-step from foundational theories to SITL simulations, middleware integration, computer vision AI algorithms, and cutting-edge V-SLAM & 360° LiDAR fusion. We build practical, end-to-end development pipelines that can be deployed immediately to your research field.

1. Curriculum Overview

We offer four tailored courses designed to match your research objectives, project scopes, and training schedules.

① Drone Autonomous Flight Theory & Application Seminar (1 Day / 6 Hours)

• Target Audience: Researchers seeking a rapid overview of autonomous drone architecture and overall software development workflows.
• Key Topics: Drone operational principles & Pixhawk (PX4) system/software architecture, MAVLink & MAVSDK drone programming, PX4-SITL simulation, and an introduction to drone autonomous flight development using ROS 2, OpenCV, and YOLO.

② Pixhawk (PX4) Autonomous Drone Programming Fundamental Course (2 Days / 12 Hours)

• Target Audience: Engineers aiming for systematic hands-on experience ranging from embedded PX4 control and ROS 2 integration to physical drone flight testing.
• Key Topics: Non-GPS autonomous flight overview, PX4 EKF & OFFBOARD control, Gazebo (gz sim) simulator integration, MAVLink & MAVSDK API utilization, ROS 2 fundamentals (Node, Topic, Service, Action, Parameter, TF2, URDF), PX4 uORB-ROS 2 middleware messaging, and flight controller tuning/testing on real hardware.

③ Pixhawk (PX4) AI Autonomous Drone Development Master Course (4 Days / 24 Hours)

• Target Audience: Developers and researchers intending to deploy computer vision and deep learning (AI) models directly onto companion computers for real-time flight control.
• Key Topics: Comprehensive coverage of the Fundamental Course + companion computer flight control via NVIDIA Jetson, OpenCV DNN deep learning programming, YOLO-Python model training/validation/inference/tracking, and ArUco marker-based precision landing control.

④ PX4 & V-SLAM (Isaac ROS 2 V-SLAM) Comprehensive Master Course (3 Days / 18 Hours)

• Target Audience: Advanced research engineers conducting sensor fusion autonomous flight in GPS-denied environments (indoors, tunnels, underground facilities, etc.).
• Key Topics: Depth Camera (Intel RealSense D435i/D455) + IMU odometry generation, Livox Mid-360 360° LiDAR ROS 2 Humble driver setup and kernel tuning, NVIDIA Isaac ROS V-SLAM + nvblox real-time 3D mapping implementation, PX4 EKF2 and V-SLAM Odometry matching, and indoor autonomous flight testing.

2. Distinctive Advantages of QUAD Drone Lab

1. Complimentary Online Textbooks & Open Documentation
   • To support continuous R&D post-training, we provide real-time updated GitBook-based online technical documentation and environment setup guides free of charge.
2. Copyright-Registered & Validated Educational Content
   • We deliver course materials and autonomous navigation algorithm source codes officially registered with the Korea Copyright Commission.
3. Seamless Hardware & Software Synergy
   • Our curriculum guarantees 100% compatibility with QUAD’s proven autonomous drone hardware platforms—such as Q250-V3, Q500-V2, and Q650-V1—equipped with Jetson Orin NX/Nano, Pixhawk 6X Pro, RealSense cameras, and 360° LiDAR.

3. Registration & Inquiry

• Textbooks & Online Guides: Provided free of charge via GitBook
• Phone Inquiry: +82-31-680-1311
• E-Mail: maponarooo@naver.com
• Official Website: https://quad-drone-lab.co.kr/
• Smartstore: https://smartstore.naver.com/maponarooo
• Official YouTube Channel: https://www.youtube.com/@quad-robotics

Notice For detailed tuition fees (academic/corporate rates) and schedule coordination, please reach out to us via email or phone. We offer personalized consultations tailored to your specific research topics.

Become a leader in autonomous drone research and AI flight technology with QUAD Drone Lab as your trusted technical partner. We look forward to collaborating with researchers and developers worldwide!