This Raspberry Pi robotic arm is built around an aluminum alloy bracket, a sturdy chassis, a multifunction expansion board, six bus servos, and a 0.3 MP camera. We have developed a ROS Melodic–based operating system tailored for it, utilizing Open Source CV and Python 3 to deliver a suite of AI vision functions. It can be controlled via an app, PC software, a handheld controller, or JupyterLab. We provide detailed tutorials, open-source code, and technical support services for Raspberry Pi enthusiasts 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. Detail Package list