Test AI-controlled Robotics Actuation on the Arduino VENTUNO Q!

OwainM 1 month ago

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Try the VENTUNO Q, Arduino's new single-board computer, for free. If you enrol for the RoadTest, demonstrate your test plan for the kit, you could receive the VENTUNO Q and some accessories to try it out. We'll send you the hardware and we pay for shipping and customs to get it to you. Once you've posted your review to the element14 Community, you keep the kit.

What is it?

The VENTUNO Q is a dual-processor single-board computer (SBC), building on the architecture used in the UNO Q, integrating a Qualcomm Dragonwing IQ8-series SoC to run Debian or Ubuntu Linux, with an ARM Cortex-based STM32H5F5 Microcontroller for deterministic, real-time control.
The board contains headers and connectors for UNO shields, Raspberry Pi Hats, Qwiic connected sensors, Modulino nodes and High-speed media carrier boards.
16GB of LPDDR5 Memory is paired with 64GB eMMC Storage, with the option for NVMe Gen.4 Storage Expansion
On-board 2.5Gb Ethernet, WiFi 6 and Bluetooth 5.3 connectivity

Why This May Be Interesting To You

Hybrid SoC/MCU Architecture: Powerful Octa-core Processor supports Debian or Ubuntu Linux Operating System, while the on-board Micro-controller handles real-time, low latency response for robotics, motion and industrial interface systems
Abundant storage and memory: 16 GB LPDDR5 Memory, 64 GB eMMC storage, as well as the option for NVMe Gen 4 expansion allows the addition of the storage you need for your workload.
Wide Expansion support: UNO Shield headers, Raspberry Pi HAT compatibility, Qwicc connectors and JMEDIA, JMISC and JOMEGA Headers all let you expand and augment the VENTUNO Q's capability
Dual-setup operation options: Full Linux Desktop operation lets you program the MCU using Arduino App Lab, or the VENTUNO Q can be used as a standalone board in the Arduino IDE.
Flexible operation and toolchain: Use standard IDEs like VS Code, PyCharm, Python, and package managers, Docker containers, SSH remote development or headless operation let you develop how your workflow and use case demands
On-Board Networking: Integrated 2.5Gb RJ45 port, 2.4/5/6 Ghz WiFi 6 and Bluetooth 5.3 connectivity options for communication with VENTUNO Q over the network for programming and operation.

Key Specifications

Microprocessor (MPU)	Qualcomm Dragonwing (IQ-8275): CPU: 8-core Qualcomm® Kryo GPU: Qualcomm® Adreno 623 NPU:Qualcomm® Hexagon 40 dense TOPS Qualcomm Spectra 692 ISP OS: Ubuntu or Debian upstream
Microcontroller (MCU)	STM32H5F5: Arm® Cortex® M33 at 250MHz 4MB flash 1.5MB RAM OS: Arduino core on Zephyr
RAM	16GB LPDDR5
Storage	• 64GB eMMC • M.2 connector for NVME Gen.4 external storage
Connectivity	• Wi-Fi® 6 2.4/5/6 GHz with onboard antenna • Bluetooth® 5.3 with onboard antenna • 1x 2.5Gbit RJ45
Camera	• USB camera support • 3x MIPI CSI connectors muxed with 2x MIPI CSI on JMEDIA header
Video	• 1x HDMI muxed with MIPI DSI on JMEDIA header • Video output (DP Alt mode) support via USB-C • MIPI DSI pins on JMEDIA header
Audio	2x Microphone IN / Headphone OUT / Ear OUT / Line OUT on JMISC header
Power Supply	• From USB-C connector 5 VDC max at 3 A • 5.5x2.1 mm Power Jack 12-24 VDC • Screw Terminal 7-24 VDC • 7-24 V on JOMEGA
USB	• 1x USB-C port with host/device role switching, power role switch and video output • 2x USB 3.0 Type A • 2x USB 3.0 on JOMEGA header
CAN	• 1x CAN-FD PHY on screw terminal • 3x CAN-FD (no PHY) on JOMEGA header • 1x CAN-FD (no PHY) on UNO Shield headers
Dimensions	• 160x100x25.8 mm

Supporting Links

Possible Applications

Here are some project types or scenarios where VENTUNO Q could shine — and which would make attractive RoadTests:

Offline voice assistant – Run local speech recognition, language models and speech synthesis without cloud connectivity.
Autonomous mobile robot (AMR) – Combine computer vision, SLAM and real-time motor control for autonomous navigation.
Vision-guided robotic arm – Use AI vision to identify objects and direct robotic manipulation.
Industrial quality inspection – Detect defects locally using cameras and AI models on production lines.
Traffic monitoring system – Perform edge-based vehicle detection, counting and analysis without sending video to the cloud.

What's included?

Arduino VENTUNO Q
Arduino 65W USB-C Power Suppy
Arduino USB-C Cable, 24-Pin
Arduino Media Carrier Board
Arduino Bughopper USB-to-UART Bridge Board
Raspberry Pi NOIR Pi Camera Board
USB-C Dual 4K DisplayPort Multiport Adaptor with Power Delivery
1m DisplayPort Cable
1m HDMI Cable

What you may need to Try It

Windows, Linux or Mac Computer
Keyboard and Mouse if you're using the VENTUNO Q as a standalone Single-Board Computer
Ethernet Cable
2230 NVMe SSD
Arduino Modulino Modules
MIPI-CSI Compatible Cameras

Your Potential Tasks and Instructions

Set up the VENTUNO Q as a Standalone Single Board Computer, or connected to a PC
Load up an example onto the board to check it works.
Connect the Raspberry Pi Camera included in the RoadTest kit and connect it.
Try the ready to run AI Models for object recognition using the connected camera
Compare AI performance and power consumption of the VENTUNO Q with the UNO Q or x86 NPUs

When Applying

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 VENTUNO 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.

Important Dates

Begin Enrolment	August 25th 2026
End Enrolment	October 9th 2026
RoadTester Selection	Within 2 weeks after enrolment ends
Kit Shipment	Within 2 weeks after RoadTester selection subject to compliance checks
Start RoadTesting the Kit	Upon receipt of kit
Review Deadline	90 Days from receipt of kit

Terms and Conditions

Are you interested?

Learn more about what you can do with VENTUNO Q!

About the Sponsor

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.

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