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Yahboom DOFBOT AI Large Language Model Vision Robotic Arm with ROS2 Python programming for Raspberry Pi 5

Vendor: Yahboom

SKU: 6000200971

Regular price $329.00 USD
Version: Standard
Main Control: without RPi
In stock, ready to be shipped

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  • “6-DOF ROBOTIC ARM WITH PRECISION CONTROL” – Explore robotic motion and manipulation with the Yahboom DOFBOT Pi 6-axis robotic arm. Featuring a durable aluminum alloy structure, intelligent bus servos, and a stable suction-cup base, this Raspberry Pi robotic arm kit supports flexible movements, object picking, and stacking tasks. Ideal for robotics enthusiasts, STEM learning, and hands-on engineering projects.
  • “AI VISION AND OBJECT RECOGNITION” – Bring robotics projects to life with the integrated camera and OpenCV-based computer vision functions. Explore color recognition, visual positioning, gesture recognition, face tracking, object sorting, and block-stacking challenges. This AI robotic arm provides a hands-on platform for learning machine vision, image processing, and intelligent robotic manipulation.
  • “ROS2 AND PYTHON PROGRAMMING” – Designed for developers, students, and Raspberry Pi enthusiasts, DOFBOT Pi supports ROS2-based robotic control and Python 3 programming. Learn robotic motion control, computer vision, and automation through practical experiments. The open-source code and detailed tutorials help users understand how software, hardware, and AI vision work together.

Tutorial

Raspberry Pi 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 0.3MP camera. We built an operating system specifically for it based on ROS2 HUMBLE, 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.

Features

Rich list of materials

  • Assembled Robotic arm.
  • Matching color-printed map and 4 different colors blocks.
  • PS2 gamepad.
  • 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.

 

Tutorial

Raspberry Pi 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 0.3MP camera. We built an operating system specifically for it based on ROS2 HUMBLE, 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.

Features

Rich list of materials

  • Assembled Robotic arm.
  • Matching color-printed map and 4 different colors blocks.
  • PS2 gamepad.
  • 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.

 

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