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In this RoadTest, testers will explore the Arduino Uno Q, a single-board computer that "unlocks a new level of performance for the Arduino ecosystem". This hardware uses Qualcomm's Dragonwing QRB2210 MPU running a full Debian Linux operating system, and the real-time responsiveness of a dedicated STM32u585 MCU running Arduino sketches over Zephyr OS, all on one board.


UNO Q is a hybrid single-board computer + microcontroller platform. It combines a powerful application processor (Qualcomm Dragonwing QRB2210) running a full Debian Linux OS with a real-time micro-controller (STM32U585, Arm Cortex-M33) running Arduino-style code under Zephyr OS.
The board retains an UNO-form factor and includes both classic UNO headers and additional high-speed connectors, making it compatible with standard shields and also able to support cameras (MIPI-CSI), displays (MIPI-DSI or USB-C video), audio I/O, and more.
Onboard memory/storage options: either 2 GB LPDDR4 + 16 GB eMMC, or a 4 GB + 32 GB variant. For this RoadTest we intend to provide the 4GB + 32GB variant.
Connectivity includes dual-band Wi-Fi 5 and Bluetooth 5.1.
Hybrid architecture: Real-time + high-level computing. Run Linux applications (Python, AI, web stack, etc.) on the MPU while using the MCU for deterministic real-time I/O, sensors, motors, or actuators.
Edge AI, multimedia, vision & IoT ready. GPU, ISP(s), camera/display/audio interfaces, plus Wi-Fi/Bluetooth — great for vision, voice, AI-powered embedded systems, smart home, robotics, etc.
Shield and ecosystem compatibility. Classic UNO headers let you reuse existing shields. Additional high-speed connectors and Qwiic support make sensor/module expansion easy.
Storage & memory for heavier workloads. On-board eMMC and LPDDR4 mean you can run more complex software stacks, store data locally, or do machine-learning inference without external modules.
Unified development workflow. Use the classic Arduino IDE (for MCU sketches), or leverage the new Arduino App Lab — combining Linux apps, Arduino sketches, Python, and AI models in a single environment
| Parameter / Feature | Details |
|---|---|
| Application Processor (MPU) | Qualcomm Dragonwing |
| Real-time MCU | STM32U585 (Arm Cortex-M33 up to 160 MHz), running Arduino Core on Zephyr OS |
| RAM / Storage Options | 2 GB LPDDR4 + 16 GB eMMC, or 4 GB + 32 GB variant |
| Wireless Connectivity | Wi-Fi 5 (2.4 / 5 GHz), Bluetooth 5.1 |
| USB / I/O Ports | USB-C (power / device / host / video), classic UNO headers, high-speed carriers (MIPI-CSI, MIPI-DSI, audio, etc.), Qwiic connector |
| Expansion & Peripherals | Camera, display, audio via high-speed connectors; shields via UNO headers; sensors/modules via Qwiic |
| Operating Systems | Debian-based Linux (on MPU) + Arduino Core on Zephyr OS (on MCU) |
| Board Form Factor / Size | Standard UNO form factor (≈ 68.85 × 53.34 mm) |
| Power Input | USB-C (5 V up to 3 A) or VIN 7–24 V (per official specs) |
- Official Arduino Documentation on Arduino Uno Q
Here are some project types or scenarios where UNO Q could shine — and which would make attractive RoadTests:
Edge-AI vision systems: Use MIPI-CSI cameras + the MPU’s GPU and ISP + Linux-based ML frameworks, e.g. object detection, surveillance, smart cameras.
Robotics with high-level control + real-time motor/sensor I/O: Let the MCU handle the real-time signals (motors, servos, sensors), while the MPU runs high-level planning, vision, or network connectivity.
Smart home / IoT hubs: Combine Wi-Fi/Bluetooth, sensors (I²C / Qwiic), cameras/displays, local storage, ideal for gateways, smart appliances, local data logging or automation systems.
Multimedia or kiosk applications: Use USB-C video output, audio I/O, and Linux-capable software to build media players, interactive kiosks, control panels, or small-form-factor PCs.
Hybrid projects blending high-level tasks and embedded I/O: Data logging + real-time data acquisition + Linux-based analysis; sensor fusion + local ML + actuator control; AI-enabled embedded devices.
To fully explore the capabilities of UNO Q in a RoadTest, you might want to have / plan for:
A USB-C cable & power supply (capable of delivering 5 V / ~3 A) or suitable VIN power source
Optional display (via USB-C video output or MIPI-DSI carrier) and input devices (keyboard, mouse) if testing Linux desktop-like usage
Camera modules (MIPI-CSI or USB-camera) if testing vision or multimedia functionality
Sensors or modules for I²C / Qwiic, or other I/O (GPIO, ADC, etc.) to test MCU side real-time capabilities
Sample peripherals, audio devices, external storage (USB), SPI/I²C sensors, shields, to test expansion, compatibility, and real-world integration
Software tools: Arduino IDE (for MCU sketches), or Arduino App Lab / Linux development environment for MPU workflows
What you could choose to do as a part of your RoadTest application to explore UNO Q:
Boot & setup: First power-up, confirm Linux boots, check MCU side works, test connectivity (Wi-Fi, Bluetooth), ensure board is stable under load.
Hybrid application test: Write a test project that uses Linux for data processing/storage (e.g. image capture + ML inference + saving), while MCU manages real-time sensor reading or actuator control, document the workflow, performance, CPU/memory usage, latencies, and any integration challenges.
Peripheral & expansion test: Connect camera or display, test audio I/O, Qwiic sensors/modules, UNO shields, verify compatibility and performance across different use cases.
Networking & edge-IoT test: Set up a networked service (e.g. MQTT, HTTP server), gather sensor data, push to cloud or local storage, test reliability of Wi-Fi and system resources under sustained workloads.
Real-world use case demo: Build a small but practical project , e.g. a smart camera + sensor hub, a robot with vision, a data logger with local processing, and document steps, code, performance, and user-experience (setup, ease of use, limitations).
Development workflow evaluation: Use both Linux side (App Lab / Python / shell) and MCU side (Arduino IDE) — note ease of switching between environments, tool-chain stability, resource constraints, documentation, and perceived developer experience.
When the RoadTest is open, tell us:
Your background and experience (especially with Linux, embedded systems, Arduino, or SBCs).
What kind of project or test you plan to build — and why UNO Q is appropriate.
Which aspects you want to evaluate: raw performance, integration complexity (sensors/peripherals), hybrid MCU/MPU workflows, expansion flexibility, power consumption, networking reliability, user-experience, etc.
Begin enrolment: 22nd of December 2025
End enrolment: 25th January 2026
RoadTester selection: Within 2 weeks after enrolment ends
Kit shipment: Within 2 weeks after RoadTester selection subject to compliance checks.
Start of RoadTesting: On receipt of kit
Review deadline: 2 to 3 months after kit receipt
Arduino is a company that develops open-source hardware and software designed to make embedded electronics accessible for engineers, educators, and makers, offering a wide range of microcontroller boards, development tools, and a global ecosystem that supports rapid prototyping and product development. For more information click here.
Top Comments
Hi everyone,
I know you're all eager to hear about progress on this RoadTest.
I've been working through the backlog of RoadTests which needed selection from the last few months and will be selecting…
Hello everyone,
Thank you for your patience.
skruglewicz , robogary and Shishir are your selected RoadTesters.
Please keep an eye on your private messages and reply or we will have to re-select.
Owain
Surpise Announcement!
We've been able to offer an extra 3 x 4GB Arduino UNO Q's for RoadTest.
As such, taifur, amgalbu , ralphjy , emarte have been selected form the existing applications.
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