Open-Source Navigation Education Kit — ROS 2 Foxy, NAV 2, Gazebo 11
The ROS2 EDU Kit is the world's first open-source navigation education kit built on the ROS 2 Foxy framework. Equipped with LiDAR, 9-axis IMU, Intel RealSense D435 depth camera, and X86 industrial PC, it provides a comprehensive platform for learning SLAM, NAV 2 navigation, Gazebo simulation, and autonomous mobile robot development. Available in Lite (2D LiDAR) and Pro (3D LiDAR) variants.
Full NAV 2 core navigation stack with Gazebo 11 simulation. Ubuntu 20.04 with X86 architecture for seamless development.
Intel RealSense D435 depth camera (1920×1080 RGB, 90fps depth), 2D or 3D LiDAR, 9-axis IMU. Everything needed for SLAM and autonomous navigation.
Lite version with YDLIDAR G4 (2D, 360° scan, 16m range) for education. Pro version with RS-LiDAR-16 (3D, 360° FOV, 150m range) for advanced research.
| Specification | Lite | Pro |
|---|---|---|
| PC | Mini PC i5 16GB 256GB SSD | Mini PC i7 16GB 512GB SSD |
| LiDAR | YDLIDAR G4 (2D) | RS-LiDAR-16 (3D) |
| LiDAR Range | 0.12–16 m | 0–150 m |
| LiDAR FOV | 360° | 360°H / 30°V |
| Camera | Intel RealSense D435 | Intel RealSense D435 |
| Display | 14" IPS 1920×1080 | 14" IPS 1920×1080 |
Product brochure and user manual for ROS2 EDU Kit.
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