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MYWAI VILMA enables robots to learn complex manipulation tasks from a single human demonstration using AI and computer vision. This toolkit is now ported to Arduino UNO Q and VENTUNO Q boards, facilitating edge-native robotics applications.
A guide details how to build a local 3D printing watchdog using an Arduino UNO Q and a camera. It leverages Edge Impulse's FOMO-AD model for anomaly detection, pausing prints via Moonraker API without cloud connectivity.
A unique cyberdeck was built by Natasha Dzurny, housed inside an "Avenue Q"-style puppet, featuring an Arduino UNO Q, a mini Bluetooth keyboard, and a 5-inch HDMI display. This project showcases extreme personalization in hardware design, integrating standard electronics into a custom, interactive puppet enclosure.
The Arduino VENTUNO Q board combines a Linux‑capable MPU with a real‑time MCU, enabling a single platform for ROS 2 navigation, sensor fusion, and low‑latency motor control in autonomous mobile robots. The post shows how LiDAR, cameras, edge‑AI and an MPU‑to‑MCU communication layer let developers prototype AMRs step by step.
Arduino’s blog spotlights a community‑built robotic arm that’s been mechanically redesigned for cheaper parts, easier 3‑D printing, and better performance. The arm uses a Nano ESP32 to read potentiometer‑based puppet‑style input and drive servos via a driver board, with belt‑driven wrist and rack‑and‑pinion gripper upgrades.
Manivannan built a smart boxing band using the Arduino Nesso N1, a pulse sensor, and an Edge Impulse‑trained model to recognize punches and display heart‑rate‑based feedback. The standalone device logs biometric and motion data for post‑training analysis.
Arduino announces its presence at Maker Faire Bay Area 2026 (Sep 25‑27, Vallejo) with a booth showcasing new hardware and a discount code. The event also includes a talk by co‑founder Massimo Banzi on community projects built with the UNO Q.
Arduino’s blog promotes a live build where you assemble a smart doorbell on an UNO Q board that runs vision locally. The focus is on privacy by keeping data on‑device, but the post offers no technical depth.
The article showcases a reaction‑game project built on an Arduino UNO Q that uses its dual‑brain (Linux + real‑time MCU) to run face‑detection via a USB camera and drive 12 Modulino I²C modules (LED matrices, pixels, thermo) plus arcade buttons and sound. It emphasizes the ease of wiring modular blocks together but offers no code, performance data, or deeper design discussion.
