
WHEELTEC R550 ROS2 AI LLM Education Robot
- Delivery nationwide via The Courier Guy — R150 flat, free over R2,000
- Free collection from our Milnerton (Cape Town) warehouse
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- Questions? WhatsApp us on +27 65 900 8570
Description
The WHEELTEC R550 ROS2 AI LLM Education Robot is an advanced, fully assembled learning platform designed for students, educators, and robotics developers. Supporting multimodal AI large language model interaction, 3D vision, and mapping navigation, this versatile system is ideal for mastering modern ROS and ROS2 applications.
Ready-to-use educational platform
The robot arrives fully assembled and ready to run straight out of the box, saving valuable setup time for educators and students. It features a 3C-certified 12V 5100mAh rechargeable lithium battery pack and includes over 16GB of code-level video tutorials to support your learning journey.

Versatile chassis configurations
The platform supports six distinct chassis types to suit various research and educational needs, including Ackermann, differential, tracked, Mecanum, four-wheel drive, and omnidirectional designs. This flexibility allows developers to explore diverse motion control algorithms, robot formation, and 3D vision systems.

Robust hardware specifications
Powered by MG513 metal gear reduction motors and high-precision 500-line AB phase GMR encoders, the robot delivers precise motion control. Depending on the chassis configuration, it achieves maximum speeds of up to 1.4 metres per second and payloads of up to 6 kilograms.

Advanced processing and sensing
The system supports powerful host controllers including Raspberry Pi 5, RDK X5, Jetson Nano, Orin Nano Super, and Orin NX Super. For environmental perception, it integrates Leishen N10P or M10P serial lidars alongside a C70 wide-FOV RGB camera or Astra series RGBD depth camera.
Comprehensive software and OS support
Compatible with ROS1 Melodic/Noetic and ROS2 Galactic/Humble, the platform also utilises FreeRTOS on its STM32F407VET6 master controller. Developers receive complete development handbooks, ROS and STM32 source code, and pre-configured ROS system images to accelerate deployment.
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