This remarkable Raspberry Pi robotic arm consists of an aluminum alloy bracket, a robust chassis, a multi - function expansion board, 6 bus servos, and a 300,000 - pixel camera. We've crafted a dedicated operating system for it based on Ubuntu20.04/ROS noetic, using Open Source CV and Python3 programming to enable a range of AI vision functions. It can be easily controlled via APP, PC software, handle, or JupyterLab. We offer detailed tutorials, open - source codes, and technical support for Raspberry Pi enthusiasts and AI beginners. Features: - Rich Materials: Comes with an assembled robotic arm, a matching color - printed map, 4 different color blocks, a PS2 gamepad, a 32G TF card with an image system, and a Yahboom special cooling HAT for efficient heat dissipation. - User - Friendly Design: Connect to the network quickly using the mobile APP QR code. The OLED displays the IP address and Raspberry Pi CPU info in real - time. Powered by a 12V 5A power adapter, no battery life worries. The chassis with suction cups ensures stable placement in any experiment environment. - Exciting AI Features: Control it via Android/iOS APP, PC upper - computer, handle, or Jupyter Lab webpage online programming. It can perform gesture recognition, color recognition, visual positioning, garbage classification, catch games, face tracking, building block stacking, and more. You can also teach it custom action groups and achieve synchronous actions of dual robotic arms. - Excellent Extensibility: The expansion board is compatible with Jetson NANO, Raspberry Pi, Arduino, and Micro:bit development boards. The detachable aluminum alloy structure allows you to adjust the arm's length. There are reserved interfaces for 6 bus servos (DOFBOT uses one), 6 PWM servos, wireless controller receiver, WiFi/Bluetooth module, I2C, and ultrasonic module.
Using the DOFBOT AI Vision Robotic Arm is a breeze. First, connect it to a power source with the provided 12V 5A power adapter. Then, you can quickly get started by scanning the QR code on the mobile APP to connect to the network. You can control the arm via different methods like Android/iOS APP, PC software, handle, or Jupyter Lab. When using the AI features, just select the function you want, such as gesture recognition or color recognition, and the arm will start working. For maintenance, keep the arm clean and free from dust. Make sure the cooling HAT is working properly to prevent overheating. If you want to extend the arm or connect additional devices, refer to the provided tutorials. Remember to handle the arm gently to avoid damage to the servos and other components.
