Automation & AI

Automation and AI in industrial robotics cover the software, sensing, data and coordination systems that determine how a robotic cell is programmed, monitored and integrated into production. These technologies include AI-assisted and offline programming, machine vision, robotic inspection, collaborative robot workflows, digital twins, MES and ERP connectivity, and data-driven process control.

This category examines how those systems affect integration time, production reliability, inspection, human-robot collaboration and operational decision-making. It also analyses the limitations of AI in automation, the failure modes created by weak system architecture, and the difference between promising demonstrations and solutions ready for industrial deployment. The articles are intended for engineers, production managers, integrators and technical buyers evaluating smarter, more connected robotic automation.