{"product_id":"arduino-uno-q-control-board-1","title":"Arduino UNO Q 4GB Development Board with QRB2210, STM32U585 \u0026 32GB eMMC for AI Robotics","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eThe Arduino® UNO™ Q 4GB development board combines a Qualcomm® Dragonwing™ QRB2210 microprocessor with a real-time STM32U585 microcontroller for robotics, IoT, machine vision, audio, and edge AI development. Its hybrid architecture supports Arduino Sketches alongside Python® and Linux® Debian workflows, with 4 GB LPDDR4 memory and 32 GB built-in eMMC storage for multi-process applications, local data, and more complex AI models.\u003c\/p\u003e\u003cp\u003eThe board is compatible with the Arduino UNO ecosystem, including classic UNO shields and newer carriers. A Qwiic connector supports solderless expansion with Modulino® nodes and compatible third-party modules.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eQualcomm Dragonwing QRB2210 microprocessor with quad-core 2.0 GHz CPU, Adreno GPU, integrated AI acceleration, and 2x ISP\u003c\/li\u003e\n\u003cli\u003eReal-time, low-power STM32U585 microcontroller\u003c\/li\u003e\n\u003cli\u003e4 GB LPDDR4 RAM and 32 GB built-in eMMC storage\u003c\/li\u003e\n\u003cli\u003eDual-band Wi-Fi 5 (2.4\/5 GHz) and Bluetooth 5.1 connectivity\u003c\/li\u003e\n\u003cli\u003eHigh-speed headers for vision, audio, and display peripherals, plus classic UNO headers for shields\u003c\/li\u003e\n\u003cli\u003e8 x 13 LED matrix for visual feedback\u003c\/li\u003e\n\u003cli\u003eUSB-C connection for power delivery and video output, with support for keyboards, mice, USB microphones, and USB cameras via a dongle\u003c\/li\u003e\n\u003cli\u003eArduino App Lab preloaded for integrated Arduino, Python, and containerized AI-model development\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicroprocessor\u003c\/td\u003e\n\u003ctd\u003eQualcomm Dragonwing QRB2210\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrocontroller\u003c\/td\u003e\n\u003ctd\u003eSTM32U585 MCU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003eQuad-core 2.0 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eAdreno GPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImage Signal Processors\u003c\/td\u003e\n\u003ctd\u003e2x ISP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003e4 GB LPDDR4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBuilt-in Storage\u003c\/td\u003e\n\u003ctd\u003e32 GB eMMC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWireless Connectivity\u003c\/td\u003e\n\u003ctd\u003eDual-band Wi-Fi 5 (2.4\/5 GHz), Bluetooth 5.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLED Matrix\u003c\/td\u003e\n\u003ctd\u003e8 x 13\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eExpansion\u003c\/td\u003e\n\u003ctd\u003eHigh-speed headers, classic UNO headers, Qwiic connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003eUSB-C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSoftware\u003c\/td\u003e\n\u003ctd\u003eLinux Debian, Arduino IDE, Arduino Cloud, Arduino App Lab\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eDevelopment Software\u003c\/h2\u003e\u003cp\u003eArduino App Lab provides a unified environment for building applications that combine Arduino Sketches, Python scripts, and containerized AI models. Ready-to-use Arduino Apps and pre-built Bricks are available to help accelerate prototyping. Preloaded AI models support workflows including object detection, anomaly detection, image classification, sound recognition, and keyword spotting.\u003c\/p\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cp\u003eSuitable for prototyping robotics, IoT, machine vision, audio processing, display-connected projects, and AI-enabled embedded applications. The onboard storage and memory support Linux single-board computer workflows, simultaneous high-level processes, local logging, and development environments.\u003c\/p\u003e\u003ch2\u003eManuals\u003c\/h2\u003e\u003cp\u003eArduino App Lab documentation is available at \u003ca href=\"https:\/\/docs.arduino.cc\/software\/app-lab\/\" target=\"_blank\" rel=\"noopener\"\u003edocs.arduino.cc\u003c\/a\u003e. For product assistance, contact \u003ca href=\"mailto:support@robotdoo.com\"\u003esupport@robotdoo.com\u003c\/a\u003e.\u003c\/p\u003e","brand":"Arduino® Official","offers":[{"title":"Default Title","offer_id":48276791754982,"sku":"AO-000011-ARD","price":106.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0686\/0954\/0326\/files\/Screenshot2025-10-29at11.51.24AM_df04fda2-7c42-471a-93c6-1bda859da666.jpg?v=1788404240","url":"https:\/\/robotdoo.com\/products\/arduino-uno-q-control-board-1","provider":"RobotDoo","version":"1.0","type":"link"}