# Arduino showcases AI and robotics projects using UNO Q board

> **Key takeaway:** The Arduino UNO Q board uses a dual-brain architecture to combine high-level AI workloads with real-time physical control.

**Published:** 2026-10-06T11:01:11+00:00 
**Source:** Arduino Official Blog 
**Category:** open-hardware 
**Canonical URL:** https://fosswire.org/news/arduino-showcases-ai-and-robotics-projects-using-uno-q-board.html 

## Summary
Arduino has highlighted several development use cases for its UNO Q board, focusing on edge AI, computer vision, and robotics. The board is designed to bridge heavy AI processing with deterministic microcontroller timing. Featured projects include ROS 2-integrated robotic arms, LiDAR room mappers, and local AI agents for smart environments.

## Hybrid architecture for AI and robotics
- Uses a **dual-brain architecture** to separate high-level AI tasks from real-time physical control.
- Supports **Edge Impulse** for machine learning and computer vision tasks.
- Integrates with **ROS 2** and **Gazebo** for robotic arm control and simulation.
- Enables local execution of AI agents to reduce cloud latency in smart home and sensing applications.

## Why it matters
The UNO Q aims to provide a middle ground between general-purpose Linux hubs and low-power microcontrollers for developers working on perception-driven robotics.