2026 ASEE Annual Conference & Exposition

Empowering the Next Generation of the American Workforce: Integrating Microchips and Industrial Robotics in Experiential Learning Camps

Presented at Engineering Technology Division (ETD) Technical Session 5

This paper presents the design, implementation, and evaluation of an innovative experiential learning program that integrates microelectronics and industrial robotics to prepare a diverse next-generation STEM workforce. The project, Empowering the Next Generation of the American Workforce: Integrating Microchips and Industrial Robotics in Experiential Learning Camps, introduces high school and community college students to microchip programming, robotics, and cybersecurity through a structured, three-phase camp model. In Phase I, participants develop foundational skills in microcontrollers, microprocessors, and programming using Arduino-based platforms. Phase II advances learning by integrating microchips with collaborative robotic arms, enabling students to apply their programming knowledge to real-world robotic tasks. In Phase III, participants transition to programming and operating FANUC industrial robots, gaining experience with industry-standard systems and exploring cybersecurity aspects of data transmission in cyber-physical environments. The program culminates in a showcase and competition, fostering creativity, collaboration, and problem-solving. A rigorous evaluation framework employing pre- and post-assessments, surveys, and project-based evaluations measures student engagement, learning gains, and effective teaching strategies in informal settings. Early findings suggest that hands-on, structured experiences significantly increase students’ interest in microelectronics and robotics, while also supporting the development of transferable skills in programming, problem-solving, and teamwork. The project further contributes to addressing diversity gaps in the semiconductor and robotics industries by intentionally recruiting underrepresented students through established partnerships with regional high schools, tribal colleges, and community colleges in Michigan’s Upper Peninsula. By disseminating curricula, best practices, and outcomes through conferences, publications, and integration into Michigan Tech’s Summer Youth Programs, this work offers a scalable and sustainable model for broadening participation and enhancing STEM education in microelectronics, robotics, and cybersecurity.

Authors

Prof. Aleksandr Sergeyev Michigan Technological University [biography]

ALEKSANDR SERGEYEV is a Professor of the Mechatronics, Electrical, and Robotics Engineering Technology program in the Department of Applied Computing at Michigan Tech. He is the Director of the FANUC Authorized Certified Robotic Training Center and a Director of the Master of Science in Mechatronics degree program at Michigan Technological University. Dr. Sergeyev is a member of SPIE, ATMAE, IEEE, and ASEE professional organizations.
Dr. Yu Cai Cai http://orcid.org/0000-0002-4134-4219 Michigan Technological University [biography]

Dr. Yu Cai is a professor of cybersecurity in the College of Computing at Michigan Tech, where he also serves as the associate dean and the associate director of the Institute of Computing and Cybersystems (ICC). Additionally, Dr. Cai is the Director of the Computing Education Center, which is part of the ICC.

Dr. Cai's research interests include cybersecurity, computer networks, and computing education. He has been the lead PI on multi-million dollar external grants, with funding from sources such as the National Science Foundation (NSF), National Security Agency (NSA), and the State of Michigan. He is dedicated to applying his research to real-world challenges that positively impact society. Dr. Cai has also served as a consultant for companies like IBM and Ford, and he plays an active role as an ABET program evaluator for computing accreditation.
Paniz Khanmohammadi Hazaveh Michigan Technological University [biography]

Dr. Hazaveh received her PhD in Electrical and Computer Engineering from the Michigan Technological University in 2018 with a focus on Single Electron Transistors.Â Â She has been a Lecturer in Electrical Engineering and Electrical Engineering Technology
Sai Bhargava Korrapati Michigan Technological University [biography]

Sai Bhargava Korrapati received his Master of Science in Mechatronics from Michigan Technological University in 2025. He is currently a Controls Engineer at TGW Systems, where he works on industrial automation, controls integration, and material handling systems for warehouse automation. His experience spans industrial robotics, PLC programming, machine commissioning, and automation system integration. Previously, he worked with Wipro PARI and served as a Graduate Research Assistant at Michigan Technological University, contributing to automation, robotics, and advanced manufacturing projects. His technical expertise includes FANUC robotic systems, industrial vision integration, and Siemens and Allen-Bradley PLC-based automation systems.
Varun Chandra Kumar Pathuri Michigan Technological University [biography]

Varun Chandra Kumar Pathuri is a Controls Engineer at Zekelman Industries and a graduate in Mechatronics, Robotics, and Automation Engineering from Michigan Technological University, where he developed a strong foundation in advanced automation systems and industrial robotics. His experience spans industrial automation, PLC programming, and robotic system integration through professional roles at Tesla and Zekelman Industries, as well as research contributions as a Graduate Research Assistant. Varun has demonstrated expertise in integrating vision systems with industrial robots, optimizing manufacturing processes, and enhancing system efficiency and reliability, achieving measurable performance improvements in automation applications. His technical proficiency includes Siemens and Allen-Bradley PLCs, SCADA/HMI development, and FANUC, ABB, and Mitsubishi robotics, alongside a strong focus on Industry 4.0 solutions and smart manufacturing systems.

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