Agilex ROS2 Lite Kit

El Agilex ROS2 EDU Lite Kit is an integrated and open-source robotics development platform designed for education and scientific research, focusing on the Robot Operating System 2 (ROS 2) framework. It provides an essential suite of hardware and pre-configured software to enable users to learn and implement autonomous mobile robot functions like Simultaneous Localization and Mapping (SLAM), navigation, and obstacle avoidance.

  • Compatible model: SCOUT/HUNTER/BUNKER
  • DOES NOT including robot chassis
  1. PC: minipc i5 16G 256
  2. 2D Lidar: G4
  3. Camera: RealSense D435
  4. Display: 14 inch IPS 1920*1080 HDMI
  5. Keyboard: k400 Plus
  6. Router: GL.iNet AR750s USB HUB: 7-Port
  7. USB3.0 Hub / 12V
  8. Regulated Power Supply: 12V to 5V 15A
  9. Regulated Power Supply: 24V (15-40V) to 12V/20A

5.890,00  Sin IVA (5.890,00  IVA incluido)

Disponible para reserva

Características clave:

  • ROS 2 Core: Built around the powerful and modern ROS 2 Foxy version on an Ubuntu 20.04 operating system, providing a stable environment for cutting-edge robotics development.
  • Comprehensive Sensor Suite: The Lite Kit includes essential sensors for autonomous operation:
    • 2D LiDAR (YDLIDAR G4): For precise distance measurements, basic scanning, and 2D mapping tasks.
    • Depth Camera (RealSense D435): A dual-purpose camera for visual data and 3D depth perception.
    • IMU (Inertial Measurement Unit): For orientation and motion sensing.
  • High-Performance Computing: Features an X86 industrial control machine with a Mini PC (typically i5 processor, 16GB RAM, 256GB SSD), running systems like NAV 2 for navigation and Gazebo 11 for simulation.
  • Ready for Mobile Chassis: The kit is designed to be compatible with various Agilex mobile chassis platforms (like Scout, Hunter, and Bunker), allowing for flexible deployment on a chosen robot base (note: the robot chassis is not included).
  • Educational Focus: It is often described as the world’s first open-source navigation education kit for ROS 2, supported by extensive tutorials and sample code for motion control, communication, and navigation.

Ideal for: Robotics enthusiasts, students, and researchers looking for a comprehensive and practical platform to master ROS 2 and develop advanced autonomous mobile robot applications.

Peso 10 kg

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