Modern industrial robotics systems are being asked to do more than ever before: real-time computer vision, autonomous decision-making, and motion control - all in compact, power-efficient form factors. Yet many teams are still building on general-purpose hardware never designed for the demands of production environments, leaving performance, security, and long-term maintainability on the table.
This webinar takes a practical look at how the latest generation of embedded platforms enables robotics engineers to run AI inferencing directly on the device - without cloud dependency or compromising sensitive operational data. At the same time, deploying robots at scale demands secure remote management: pushing updates, monitoring device health, and maintaining control across fleets in the field. We'll show how a purpose-built platform addresses both sides of this challenge, from the edge processor to the fleet management layer.
What you'll learn:
- Why purpose-built embedded platforms outperform general-purpose hardware for industrial robotics applications
- How to run real-time AI inferencing and computer vision locally, eliminating latency and keeping operational data on-device
- How integrated cloud services enable secure OTA updates and remote fleet management without introducing new attack surfaces
- Live demonstration of a industrial networking/robotic hand application powered by the Digi ConnectCore MP257