Document Library
Reference architectures, white papers, and solutions briefs to help build and enhance your network infrastructure, at any level of deployment.
Engagement / Document Library / Open, Real-Time AI Robotics Control at the Edge
Open, Real-Time AI Robotics Control at the Edge
Last Updated: Mar 10, 2026
Manufacturing is moving toward open, software-defined automation platforms that unify Artificial Intelligence (AI), control, and orchestration at the edge. This solution brief covers the Robot Vision and Control (RVC) demo, which is based on Robot Operating System 2 (ROS 2) and unifies AI-powered perception with precise robotic control at the edge. Intel and Canonical support open, modular robotics solutions that integrate real-time-capable control, AI inference, and orchestration on Ubuntu—helping accelerate deployment, reduce the risk of vendor lock-in, and improve operational efficiency.








