Arduino BlogArduino Team7 min readintermediate
Building smarter AMRs with the Arduino® VENTUNO™ Q board
Summary
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.
- VENTUNO Q merges a Linux‑capable MPU and a real‑time MCU on one board, letting ROS 2 run on Linux while motor control stays on the MCU.
- LiDAR, stereo camera, and Arduino Modulino sensors feed SLAM and perception on the MPU; wheel encoders and motor drivers are handled by the MCU.
- An MPU‑to‑MCU link (e.g., CAN) passes Nav2 velocity commands to the motor controller and returns odometry and diagnostics back to ROS 2.
- Edge AI models (via Edge Impulse) can run on the MPU, adding context like person detection or tray verification to navigation decisions.
Robotics engineers building autonomous mobile robots should care because VENTUNO Q offers a unified hardware base to integrate ROS 2, perception, and edge AI without juggling multiple boards.
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