Arduino’s UNO Q is a “dual-brain” dev board built with Qualcomm, combining a Linux-capable Qualcomm Dragonwing QRB2210 MPU with a real-time STM32U585 MCU in the familiar UNO form factor. The pitch is simple: you get a small SBC for UI, networking, and on-device inference, plus deterministic GPIO and motor-control timing on the microcontroller side—without having to design your own inter-processor plumbing. https://www.arduino.cc/product-uno-q
In the demo, the board runs standard Debian Linux with a preloaded IDE and a catalog of example apps, including a face-detection project. You can also drive the same workflow from a laptop over Wi-Fi, so the board can sit “headless” in a robot or enclosure while you iterate. The key abstraction is an Arduino “app” split across two worlds: a classic Arduino sketch for the MCU, and a Linux-side component you can write in Python (or anything that runs on Debian), tied together with simple RPC calls for message passing and control, today.
The robot-dog setup shows why this hybrid approach matters: the STM32 side handles real-time motor control while the QRB2210 hosts a lightweight web app that becomes the controller UI. Add a USB camera and you can loop vision results—like face detection or a custom classifier—back into low-latency behaviors on the microcontroller pins, without turning your control loop into a Linux scheduling problem. This was filmed at CES Las Vegas 2026, but the engineering theme is broader: making “UI + compute + control” feel like one coherent platform, there.
For AI workflows, the board story leans on a gentle on-ramp: start with “default models,” then move to custom training via Edge Impulse, export, and re-integrate into the same Arduino/Linux split application model. Hardware-wise, UNO Q is positioned as an entry board at $44, with a 2 GB RAM version shown and a 4 GB variant mentioned as upcoming; the goal is to keep the developer experience consistent as the line expands, while staying open source and accessible for robotics, IoT gateways, vision, and local web dashboards inside.
Overall, the UNO Q looks like Arduino trying to collapse the gap between maker-friendly GPIO and modern embedded compute: Cortex-A53 class Linux, GPU/ISP-capable silicon, Wi-Fi-based dev loops, and a clean API boundary to a real-time MCU. If you’ve ever duct-taped a Pi (or similar SBC) onto a microcontroller just to get a UI and networking, this is the same architecture—but packaged as one board with a curated software path from demo to product prototype, now.
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