Kettering University’s collaboration with Mitsubishi Electric Automation and Patti Engineering is gaining national attention, with a new case study highlighting the impact already visible in student outcomes and industry engagement.
That approach has been taking shape inside Kettering’s advanced robotic automation cell for several years. Last year, senior Scotty Grunwald ’26 worked directly with Mitsubishi PLCs, robotics, and HMIs as part of a fully integrated system.
“This was my first real attempt at a full automation system,” Grunwald said. “It was a lot harder than it looks on paper, but that’s what made it so valuable.”
His experience reflects the kind of system-level learning now highlighted in Mitsubishi Electric’s case study.
The case study frames the collaboration simply: bridging the skills gap in modern manufacturing through a smart, programmable, and flexible manufacturing cell that gives students real-world automation experience before entering the workforce.
Developed in partnership with Mitsubishi Electric Automation and Patti Engineering, the robotic cell integrates robotics, PLCs, machine vision, and system-level controls into a fully programmable platform. Students are not completing static lab exercises—they are programming, troubleshooting, and iterating on a complete system that mirrors the complexity of modern production environments.
For students like Grunwald, that experience translates directly to the job market. Direct familiarity with Mitsubishi PLCs, robotics, and HMIs provides exposure rarely available at the undergraduate level—and a clear point of differentiation when entering industry.
The case study reinforces a broader point: addressing the skills gap in advanced manufacturing requires more than access to equipment. It requires systems that evolve, challenge students to think independently, and connect theory directly to application.
That perspective is now extending beyond campus through industry conversations tied to IMTS, where the collaboration is positioned within broader discussions around workforce development, automation adoption, and the future of smart manufacturing.
Together, these elements—student experience, industry validation, and national visibility—point to a single outcome: a model that reflects current industry expectations and prepares students to contribute from day one.
