The V550 RDK X5 AI Smart Educational Robot is a cutting-edge ROS2-based educational robot, designed to immerse students and enthusiasts in the exciting world of AI, robotics, and programming. This "Gift Edition" combines advanced features like AI voice and vision interaction with a user-friendly platform, making complex concepts accessible and engaging.
Powered by the Rockchip RDK X5 AI Computing Module, featuring a quad-core CPU and NPU AI accelerator, the V550 delivers robust performance for real-time deep learning inference, object detection, and gesture control. It runs on Ubuntu with the ROS2 Humble framework, pre-installed with comprehensive AI voice and vision packages, offering a modern and expandable environment for multi-node robotics systems.
The V550 boasts an intelligent voice assistant for speech recognition and command execution, alongside a dynamic AI camera supporting face recognition, object tracking, and gesture interaction. Its differential drive mobile base ensures precise movement, complemented by a suite of sensors including IMU, ultrasonic, and a 3.5-inch color touch screen for interactive control. With multi-level programming support from Python/C++ to visual Blockly, and an expandable hardware design, the V550 is a comprehensive STEM learning tool packaged in an elegant gift-box design.
Key Features
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ROS2-Based Next-Generation Educational Robot
Built on the latest ROS2 Humble framework, providing a modern platform for learning multi-node robotics systems and AI applications. -
Powerful RDK X5 Edge AI Processor
Integrates high-performance NPU capable of running deep learning inference, object detection, and gesture control in real time. -
Intelligent Voice Interaction
Embedded AI voice assistant supports wake commands, natural conversation, and speech-driven behavior control—enabling human-robot communication. -
AI Vision Learning and Recognition
RGB camera and OpenCV toolchain enable facial recognition, object identification, and AR visual experiments for students. -
Interactive Touch and Display Interface
Includes a 3.5-inch color touch screen for menu navigation, workflow display, and teaching demonstrations. -
Expandable Hardware Design
Open GPIO/I2C/UART ports allow connection to servo motors, sensors, or actuator extensions for custom projects. -
Educational and Gift Edition Packaging
Elegant gift-box design makes it ideal for educational institutions, robot training centers, and AI learning kits for students. -
Cross-Level Programming Support
Compatible with Python and C++ for advanced learners, and Blockly graphical programming for beginners. -
Comprehensive STEM Learning Tool
Combines speech, vision, control, and AI to create a rich, interactive robotics learning experience.
Technical Specifications
| Product Name | ROS2 Educational Robot V550 Gift Edition with AI Voice and Vision Interaction |
| Model | V550 RDK X5 AI Smart Educational Robot |
| Processor | Rockchip RDK X5 AI Computing Module (Quad‑Core CPU + NPU AI Accelerator) |
| Operating System | Ubuntu / ROS2 Humble Framework with pre‑installed AI voice and vision packages |
| Main Control Platform | RDK X5 Edge AI Board supporting TensorFlow Lite / ONNX / OpenCV AI deployment |
| Control Architecture | Full ROS2 stack support for multi‑node communication and sensor integration |
| Voice Interaction | Built‑in intelligent voice assistant for speech recognition, wake‑word control, and command execution |
| Vision System | Dynamic AI camera supports face recognition, object tracking, and gesture interaction |
| Motion Structure | Differential drive mobile base with precision encoder motors and PID speed control |
| Sensors | IMU (9‑axis), Ultrasonic Distance Sensor, RGB Camera, Touch Input, Microphone Array |
| Display | 3.5‑inch color touch screen for status display and interactive control |
| Connectivity | USB / UART / Wi‑Fi / Bluetooth / Ethernet / HDMI output |
| Power Supply | 12 V rechargeable battery pack with charging protection and power management board |
| Programming Support | Python / C++ / C / MicroROS SDK / Blockly visual programming (for beginners) |
| Expandable Interfaces | GPIO, I2C, UART ports for external sensors or mechanical modules |
| Software Ecosystem | ROS2 rclpy / rclcpp nodes, Gazebo simulation, Rviz2 visualization support |
| Chassis Material | High‑strength ABS shell + aluminum internal frame for lightweight design |
| Dimensions | Approx. 22 × 16 × 20 cm (compact educational form factor) |
| Communications | Wi‑Fi / Bluetooth 5.0 wireless control and data upload to local ROS network |
| Applications | AI education, robotics learning, voice interaction projects, vision programming, STEM training, and creative gift scenarios |
| Certifications | CE / RoHS / Educational Safety Compliant |