ROS2 EDU KIT

$0,00

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

Wide range of applications

The ROS2 EDU kit is powered by an x86 processor running Ubuntu 20.04. This configuration is compatible with advanced systems such as NAV 2 for navigation and Gazebo 11 for simulation. A key feature is its full support for the latest official NAV features. Its open-source environment makes it versatile for use in fields such as environmental monitoring, agriculture, surveillance, and security.
DESCRIPTION

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

Wide range of applications

The ROS2 EDU kit is powered by an x86 processor running Ubuntu 20.04. This configuration is compatible with advanced systems such as NAV 2 for navigation and Gazebo 11 for simulation. A key feature is its full support for the latest official NAV features. Its open-source environment makes it versatile for use in fields such as environmental monitoring, agriculture, surveillance, and security.

Kit ROS 2 EDU disponible en dos versiones


El ROS2 EDU KIT es un innovador kit de desarrollo diseñado para entusiastas de la robótica, estudiantes e investigadores. Compatible con varias plataformas de chasis, ofrece dos modelos para adaptarse a diferentes necesidades:


ROS 2 EDU Lite:


Con un LIDAR 2D para escaneo y mapeo básicos.


ROS 2 EDU Pro:


Equipado con un LIDAR 3D para una percepción ambiental avanzada.

Características del kit ROS2 EDU


A pesar de su tamaño compacto, que permite montarlo fácilmente en las plataformas de chasis de Agile X, el kit tiene un gran impacto. Está construido en torno al marco ROS 2 Foxy e incluye componentes esenciales para la navegación autónoma:


1. LiDAR para mediciones precisas de distancia


2. IMU (Unidad de medición inercial) para detección de movimiento


3. Cámara de profundidad para visión 3D


4. Sensores adicionales para obtener datos medioambientales completos

DO NOT DELETE

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