Yahboom DOFBOT AI Vision Robotic Arm with ROS Python programming for Raspberry Pi 4B 8GB/4GB

Yahboom DOFBOT AI Vision Robotic Arm with ROS Python programming for Raspberry Pi 4B 8GB/4GB

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Another version

Jetson NANO DOFBOT AI Vision Robotic Arm 


This Raspberry Pi robotic arm is mainly composed of an aluminum alloy bracket, a sturdy chassis, a multi-function expansion board, 6 bus servos and a 300,000 pixel camera. We built an operating system specifically for it based on Ubuntu20.04/ROD noetic, using Open Source CV and Python3 programming to create a series of AI vision functions. It can be controlled by APP, PC software, handle, JupyterLab. We provide detailed tutorials, open source codes and technical support services for Raspberry Pi players and AI beginners.




Rich list of materials

  • Assembled Robotic arm.
  • Matching color-printed map and 4 different colors blocks.
  • PS2 gamepad.
  • 32G TF card with image system.
  • Yahboom special cooling HAT to help heat dissipation.

User-friendly detailed design

  • Users can connect network by the mobile APP QR code on APP to get started quickly.
  • OLED displays IP address and Raspberry Pi CPU related information in real time.
  • 12V 5A power adapter power supply, no battery life limit.
  • The chassis with suction cups is more stable and can be stably placed in any experimental environment at any time.

Exciting AI features

  • It can be controlled by Android/iOS APP, PC upper computer, handle, Jupyter Lab webpage online programming.
  • DOFBOT can realize Gesture recognition, color recognition, visual positioning, garbage classification, catch game, face tracking, building blocks stacking and other AI games.
  • User can make it learn to customize action groups, and complete the synchronous action of the dual robotic arm.

Excellent extensibility

  • The expansion board is compatible with Jetson NANO, Raspberry Pi, Arduino, Micro:bit four development boards.
  • Aluminum alloy structure is detachable, users can extend or shorten the length of the robotic arm.
  • We reserve 6 bus servo (DOBFOT only uses one) + 6 PWM servo, wireless controller receiver, WiFi/Bluetooth module, I2C and ultrasonic module interfaces.


Package list

Another version

Jetson NANO DOFBOT AI Vision Robotic Arm 



Yahboom Raspberry Pi DOFBOT AI Vision Robotic Arm





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Customer Reviews

Based on 12 reviews
Marcus W.
Recomendable para trabajar con los pones de microbit

Buen producto. Muy interesante que tenga la opción de alimentar a 5 v.

Julian K.
- Excellent toy to help educate Python AI programming

I bought it to learn Python programming. There is a black sponge in the box, and each part is placed in its own position. It seems that everything is reasonable. Although there were some problems when connecting to the wireless network, the technical support responded to my email within 24 hours and helped me solve the problem.

Now more and more people around me are learning Python programming, and I would like to recommend this robotic arm to others.

Shawn Gifford
The performance is nice, but the price is a bit expensive.

The performance is nice, but the price is a bit expensive. Compared with other robotic arms on the market, both in terms of structure and function, there are obvious improvements. For example, when rotating quickly, the picture does not lose frames or freezes. Object recognition and gesture recognition are also very effective.
Codes for all functions are provided for free.

John V
main part of the robotic arm is assembled

Everything seems to be fine, but the main part of the robotic arm is assembled, so I can't experience the fun of assembly. I am learning the function of garbage classification.

For beginners, the algorithm is a bit complicated, but the technical support has provided me with great help.



Always excited when Yahboom comes out with a new Raspberry Pi kit as I buy them all. But this is the one I've been asking about for years.

Although I enjoy the assembly (like building blocks for big kids) this one comes with only a small amount of assembly required.