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AI Large Model Education RobotProduct Brochure

V550 ROS2 AI Large Model Educational Robot

Four-wheel drive, Mecanum wheel, and Ackermann steering chassis

Product Details

V550 ROS2 AI Large Model Educational Robot Product Image

Product Overview

V550 is Lunqu's flagship platform for ROS education. The vehicle features an industrial-grade enclosure and a clamp-style flange coupling (Utility Model Patent 202123011047.2), delivering structural rigidity while simplifying assembly so students can start mapping, navigation, and vision experiments right out of the box.

The platform offers three drive configurations: four-wheel drive, Mecanum wheel, and Ackermann. The main controller can be selected from RDK X5, Raspberry Pi 5, or Jetson Orin series. A single open-source software stack supports the entire curriculum, from beginner courses to multimodal large model experiments.

Other models in the same series

Key Features

  • Integrate multimodal large model interactions supporting voice-visual combination experiments.
  • Choose between four-wheel drive, Mecanum wheel, and Ackerman steering—all powered by a single software stack.
  • The main controller can be selected from RDK X5, Raspberry Pi 5, or Jetson Orin series.

Typical Applications

  • ROS2 Course Lab: Mapping, Navigation, Path Planning, and Sensor Fusion
  • 3D Vision and Deep Learning: Camera Calibration, Object Detection, and Grasping Localization
  • Multi-Drone Formation and Swarm Scheduling Algorithm Verification

Technical Specifications (9Item

Product Version
V550 AWD / Mecanum / Ackermann
Overall Dimensions
4WD 260×214×22 3mm; Mecanum 260×229×22 8mm; Ackerman 280×190×22 6mm
Drive Wheel
65mm rubber wheels / 75mm metal Mecanum wheels
Master Control Optional
RDK X5 4GB/8GB, Raspberry Pi 5 4GB/8GB, Jetson Nano 4GB, Orin Nano Super 8GB, Orin NX Super 16GB
motor
MG513 Metal Gear Reduction Motor
Encoder
GMR Encoder (Utility Model Patent 202122109210.2)
Battery
3C-certified 12V 5100mAh lithium battery
Interaction capabilities
Support AI multimodal large model interaction
Resources
Open-source code, schematics, and video tutorials

Specifications are subject to factory settings and the selection list; optional features and pricing are confirmed per project. Content on this page may be cited in course proposals and tender documents.

Beijing ICP License No. 2026026760