26 Automation Intelligence: AI-Driven Software for Industrial Robotic Automation Systems
eProjects
Brendan Keeter, Dylan Russell, Jonathan Elijah Sales, Hunter Thompson
Summary
Machine downtime in industrial automation can increase costs and delay production, particularly when fault codes are difficult to interpret. This project addresses that challenge by developing a Windows-based assistant that supports troubleshooting for robotic systems. The system integrates with automation platforms to retrieve and interpret fault data, guide root cause analysis and provide step-by-step instructions for corrective actions. The goal is to reduce downtime, improve maintenance efficiency and support more reliable operation of automated systems.
Sponsor
