Raspbot V2 AI Large Model STEM Education Python Programming Robot Car for Raspberry Pi 5

Tutorials Link: Yahboom Raspbot V2 AI Large Model Robot Car

Note: Just superior version supports AI large models and AI voice interaction.

Yahboom RASPBOT V2 is an AI larger model robot car with a metal body bracket. Yahboom RASPBOT V2 is equipped with Mecanum wheels to achieve 360° omnidirectional movement. Raspberry Pi 5 as the main control, Python as programming language. 1MP USB camera and 2DOF PTZ, combining with OpenCV image processing library and MediaPipe machine learning framework to realize color recognition, target tracking, license plate recognition, visual tracking, face recognition, gesture recognition, etc. Yahboom also provide it with accessories such as 4-channel tracking, ultrasonic, OLED display, RGB light bar, and comprehensive software and hardware support, which can be used in a variety of application scenarios such as intelligent robot learning, artificial intelligence development and competition projects. Yahboom RASPBOT V2 is not only suitable for individual developers and students, but also widely used in education, scientific research and innovation projects.

Features:

Surprising AI vision capabilities: Yahboom RASPBOT V2 With 2DOF camera PTZ, cooperate with OpenCV and MediaPipe to realize color recognition, target tracking, license plate recognition, gesture and face recognition and other functions.

360° omnidirectional movement: Yahboom RASPBOT V2 Mecanum wheels and 4-channel independent drive motors, it can easily achieve all-round flexible movement and adapt to complex terrain.

Support multiple accessories: Multifunctional robot drive expansion board, supports connecting 4-channel tracking sensor, ultrasonic sensor, OLED display, RGB light bar, users can use the car in various scenarios.

Raspberry Pi 5 as main control: Yahboom RASPBOT V2 Combined with ROS2-Humble operating system and Python programming environment. The simple programming interface and rich sensor modules make Raspbot-V2 suitable for ROS beginners to quickly get started.

For Superior Version

1. Built-in speech recognition and natural language processing, combined with speakers, enable easy voice commands and question-and-answer interactions.

2. Integrating multimodal interaction capabilities, including text, image, and voice, it can adjust actions in real time based on environmental changes, supporting free conversation interruptions and dynamic feedback reasoning.

3. Integrating a large model and an extensible RAG knowledge system enhances task awareness and complex problem-solving capabilities.

Shipping list:

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Approved refunds are issued to the original payment method and may take approximately 7–10 business days to appear, depending on your bank or payment provider.

For full details, please see our Return & Refund Policy.

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Once your order ships, we'll send you tracking information so you can follow your package from dispatch to delivery. You can also track at Our order tracking page.