Description
Tutorials Link
Yahboom Raspbot V2 AI Large Model Robot Car
Note: Just superior version supports AI large models and AI voice interaction.
RASPBOT-V2 is an AI larger model robot car with a metal body bracket. It 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. 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: 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: 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: 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.
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Customer Reviews
As a robotics and Raspberry Pi nut, I’ve almost tested EVERY bot, but this Raspbot V2 is the only one that makes me love it.
The all-metal chassis protects the motherboard and other internal parts in all directions, and the quality is good and wear-resistant
The Mecanum wheel conquers most terrains
The USB camera is combined with the OpenCV image processing library and the function are very rich, recognition, tracking and auto-pilot, it is suitable for beginners and multi-student teaching, research...
Everything works great. It's feature rich, comprehensive and perfect for what I use in my courses!
Aluminum alloy shell is very thick and is easy to install. It is suitable for beginners and developers. The smart robot car is very flexible and smooth with the Mecanum wheels. Tutorial information is complete, the packaging is very good and there is no any damage! Overall, it is worth buying!
The body material is made of aluminum alloy, which is durable and looks very refined.
The assembly process is fun, all parts are precisely matched, and the instructions are clear and detailed, so even beginners can easily complete it.
The drive motor is powerful, the four-wheel drive performs well, and it can run smoothly even on slightly rough ground. The customer service attitude is very good, the questions are answered quickly, and the logistics are also fast.
Highly recommended for friends who like programming and DIY!
A fairly complete toolkit with a tutorial that you can download for free from the Yahboom page, which is very good and has examples of all components. I suggest starting at 100%.
Faced with the components I have tested, they are all working and in good condition.
Finally, I am also pleased with the support provided by Yahboom as they quickly answered all questions.
QUESTIONS & ANSWERS
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ROSのソースコードを公開していただくことは可能ですか？
Dear,
The underlyfirmware source code of the car is not open source, all control code is open source.
You can view this tutorial link: https://www.yahboom.net/study/RASPBOT-V2
All the code we can provide is here
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The TF card have pre installed Software? Can we put on tf card on my old raspberyy pi 16gb and This should work?Or i Have to buy it with rpi?And i cant see its voice integration tutorial.can we change listen word yahboom to another word?
Hello,
Thanks for your question.
If you want to update the AI large model version, simply follow the tutorial to update the latest system image on your existing TF card and contact us to purchase the US$30 AI voice large model module package.
Tutorial link: https://www.yahboom.net/study/RASPBOT-V2
Contact email: market@yahboom.com
2. The wake-up word cannot be modified.
I hope this helps.
Have fun!
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без платы RPi автомобиль сможет работать?
Hello friend,
I have reply you by E-mail, maybe my E-mail enter your trash.
The Raspberry Pi is like the brain of this robot car. Without the Raspberry Pi, the car cannot start normally.