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.
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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.
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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.
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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.
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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.
If you have any problem when using our robot after checking the tutorial, please contact us.