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Robotics

Arduino Launches VENTUNO Q Board Powered by Qualcomm Dragonwing IQ8 for Edge AI and Robotics

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Arduino has announced the Arduino VENTUNO Q, a new single-board platform set for release in the second quarter of 2026. The board is named VENTUNO, the Italian word for twenty-one, in reference to Arduino's 21st anniversary later this month. It builds on the Arduino UNO family and uses a dual-brain architecture. The platform incorporates the Qualcomm Dragonwing IQ8 Series processor for AI workloads, including generative AI, with NPU acceleration providing up to 40 dense TOPS. It includes a dedicated STM32H5 microcontroller for low-latency actuation and motor control. The board features 16 GB RAM for concurrent inference and multitasking, along with 64 GB expandable storage.

Arduino states that the VENTUNO Q enables systems to perceive, decide, and act on a single board, supporting offline operation for autonomous AI agents. Example applications include offline AI voice assistants using local LLM models, gesture-responsive smart mirrors, robotic arms with vision-guided pick-and-place, service robots with owner following, autonomous navigation via Visual SLAM, proactive security systems, edge-processed traffic monitoring, and automated quality inspection using local VLMs.

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In education and research, it supports teaching computer vision and generative AI on the edge, along with rapid prototyping. The board runs Ubuntu and Linux Debian on the main processor with upstream support, while the microcontroller uses Arduino Core on Zephyr OS for deterministic real-time tasks.

Development occurs through the Arduino App Lab environment, which supports Arduino sketches, Python scripts, and pre-integrated AI models for tasks such as local LLMs, VLMs, automatic speech recognition, gesture recognition, pose estimation, and object tracking—all offline via Qualcomm AI Hub. It integrates with Edge Impulse Studio for custom models, with additional AI frameworks planned.

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Hardware includes industrial I/Os such as native CAN-FD, PWM, and high-speed GPIO; ROS 2-ready workflows; support for multiple MIPI-CSI cameras with AI processing on feeds; advanced audio; displays; and 2.5 Gb Ethernet. The board connects to PCs or functions as a standalone SBC. It maintains compatibility with UNO shields and carriers, Arduino Modulino nodes, Qwiic sensors, and Raspberry Pi Hats. Fabio Violante, VP & GM at Arduino (Qualcomm Technologies), stated that the platform moves AI from the cloud to the physical world on a single board to make advanced robotics and edge AI accessible. Nakul Duggal, EVP and Group GM for Automotive, Industrial and Embedded IoT at Qualcomm Technologies, Inc., noted the combination of Arduino's developer ecosystem with Dragonwing processors to enable edge AI for millions of developers.

The Arduino VENTUNO Q will be available in Q2 2026 from the Arduino Store and official resellers including DigiKey, Farnell, Macfos, Mouser, and RS. Updates can be requested at https://www.arduino.cc/product-ventuno-q.


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