Robot Controller

【Arduino AI Development Board】Arduino UNO Q bridges high-performance computing with real-time control. Get power and ease of use – all wrapped up into UNO.

【Dual-Brain Architecture】Featuring the Qualcomm Dragonwing™ QRB2210 MPU and STM32U585 MCU, this single board seamlessly balances complex computing with precise control.

【Native Edge AI Support】Powered by a high-performance processor running Linux, it supports Python, Docker, machine learning models, and audio/visual recognition. This elevates Arduino development from traditional hardware control to intelligent AI applications.

【All-New Arduino App Lab】By consolidating Arduino Sketch, Python, Linux applications, Docker, and AI model development into a unified environment, this platform drastically lowers the barrier to Linux and AI development for a simpler, highly efficient workflow.

【Classic UNO Ecosystem, Fully Upgraded Experience】Retaining the iconic UNO form factor and Arduino ecosystem, it maintains compatibility with extensive development resources and expansion methods. This ensures a seamless migration for existing users while empowering new projects with robust development capabilities.

【Ultra-Compact & Lightweight】The board's small-volume design significantly reduces space occupancy, tailored specifically for compact platforms like drones and mini-robots with stringent size and weight constraints.

【NVIDIA Module Compatibility】Perfectly fits the official NVIDIA Jetson Nano SOM with hassle-free installation, effortlessly unlocking powerful edge AI computing.

【Versatile Connectivity】Features standard CSI camera ports, high-speed USB 3.0, an M.2 Wi-Fi slot, and a standard 40-pin GPIO array, offering plug-and-play integration for vision systems, LiDAR, and diverse peripherals.

【Clean & Stable Power】Optimized boot logic enables true headless operation without needing an HDMI dummy plug, ensuring pristine and stable power delivery even under heavy processing loads.

【ROS2 Development Support】Fully compatible with ROS2 to enable scene understanding, computer vision, and object detection. Experience a seamless, end-to-end pipeline from cloud model deployment to local hardware execution.

【Ultra-Compact & Lightweight】The board's small-volume design significantly reduces space occupancy, tailored specifically for compact platforms like drones and mini-robots with stringent size and weight constraints.

【NVIDIA Module Compatibility】Fully compatible with official NVIDIA Jetson Orin Nano and Orin NX modules. Interchangeable core configurations allow you to scale edge AI computing power as needed.

【Versatile Connectivity】Features standard CSI camera ports, high-speed USB 3.0, an M.2 Wi-Fi slot, and a standard 40-pin GPIO array, offering plug-and-play integration for vision systems, LiDAR, and diverse peripherals.

【Clean & Stable Power】Optimized boot logic enables true headless operation without needing an HDMI dummy plug, ensuring pristine and stable power delivery even under heavy processing loads.

【Blazing-Fast Storage】Pre-flashed for instant startup, the 128GB SSD supercharges system response, leaving plenty of room to run complex AI models and store massive development logs.

【Supports Magnetic Encoder Servo Control】Wide 5–14V input range drives Hiwonder magnetic encoder servos effortlessly. Includes Type-C cable for easy connection.

【Professional PC Software】Graphical interface for servo scanning, parameter tuning, and motion mode switching. Simplifies debugging and speeds up development.

【Multiple Communication Modes】Supports UART, USB, and single-wire TTL for flexible servo control across different setups.

【Supports Multi-Controller Platforms】Compatible with Jetson, Raspberry Pi, ESP32, STM32, Arduino, and more. Extra serial ports are available for expansion and integration.

【Comprehensive Tutorials】Comes complete with multi-platform code examples, professional debugging tools, and full documentation, accelerating development and enabling greater focus on hardware innovation.