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Yahboom - ROSMASTER X3 - ROS2 Robot

Yahboom - ROSMASTER X3 - ROS2 Robot

leoRover - Leo Rover

leoRover - Leo Rover

AgileX - ROS2 Edu Kit

As low as £6,002.90 £5,002.42

The ROS 2 Edu Kit is the world's first open-source navigation education kit for ROS 2 mobile robots. It enables obstacle avoidance, route following, and unknown environment exploration. This kit offers hands-on experience with intelligent robotics for both beginners and enthusiasts.

* Platform NOT included


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SKU
AGL-ROS2EK

Both Compatible with
The Scout, Hunter and Bunker


ROS 2 EDU Kit Available in Two Versions

The ROS2 EDU KIT is an innovative development kit designed for robotics enthusiasts, students, and researchers. Compatible with various chassis platforms, it offers two models to suit different needs:

ROS 2 EDU Lite

Featuring a 2D LIDAR for basic scanning and mapping.

ROS 2 EDU Pro

Equipped with a 3D LIDAR for advanced environmental perception.

  ROS 2 EDU Lite ROS 2 EDU Pro
PC Mini PC i5 16Gb 256Gb Mini PC i7 16Gb 512Gb
Lidar 2D Lidar: G4 3D LiDAR: RS16 (Educational Edition)
Camera RealSense D435 RealSense D435
Display 14 inch IPS 1920*1080 HDMI 14 inch IPS 1920*1080 HDMI
Keyboard K400 Plus K400 Plus
Router GL.iNet AR750s GL.iNet AR750s
USB USB HUB: 7-Port USB3.0 Hub / 12V USB HUB: 7-Port USB3.0 Hub / 12V
Power Regulated Power Supply: 12V to 5V 15A Regulated Power Supply: 12V to 5V 15A
Power Regulated Power Supply: 24V (15-40V) to 12V/20A Regulated Power Supply: 24V (15-40V) to 12V/20A

Features of The ROS2 EDU Kit

Despite its compact size, allowing it to be easily mounted on Agile X's chassis platforms, the kit packs a powerful punch. It's built around the ROS 2 Foxy framework and includes essential components for autonomous navigation:

  1. LiDAR for precise distance measurements
  2. IMU (Inertial Measurement Unit) for motion sensing
  3. Depth camera for 3D vision
  4. Additional sensors for comprehensive environmental data

Wide-ranging Applications

The ROS2 EDU kit is powered by an X86 processor running Ubuntu 20.04. This setup supports advanced systems like NAV 2 for navigation and Gazebo 11 for simulation. A key feature is its full compatibility with the latest official NAV functions. Its open-source environment makes it versatile for use in fields such as environmental monitoring, agriculture, surveillance, and security.

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