Extended Reality for Smart Manufacturing: 360° VR Training and Human–Robot Teaming
Extended Reality (XR) is emerging as a transformative tool in advanced manufacturing by enabling immersive, data-driven, and human-centered production environments. This talk presents the use of Extended Reality (XR), with an emphasis on 360? Virtual Reality (VR), for workforce training in advanced semiconductor manufacturing. We demonstrate how immersive 360° VR environments can replicate cleanroom operations, equipment interaction, safety procedures, and process workflows, enabling scalable and risk-free training for technicians and engineers. Such immersive modules provide experiential learning opportunities in high-cost, high-precision settings where physical training access is limited, supporting faster onboarding, standardized skill development, and improved safety awareness. Beyond training, the talk also discusses how XR platforms can be leveraged to enable more effective human–robot collaboration in advanced manufacturing. Specifically, we highlight ongoing work on integrating intention detection and trajectory tracking within immersive environments to model operator behavior and predict movement patterns in real time. This human-in-the-loop framework allows robotic systems to adapt to human intent, improving coordination, safety, and task efficiency in collaborative manufacturing scenarios.
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- Wayne State University
- Detroit, Michigan
- United States 48202
- Building: College of Engineering - ECE Department
- Room Number: 3130
- Starts 24 February 2026 05:00 AM UTC
- Ends 25 February 2026 04:00 PM UTC
- No Admission Charge
Speakers
Sara Masoud
Dr. Sara Masoud
Dr. Sara Masoud is an assistant professor of industrial and systems engineering at Wayne State University. She received her doctorate in systems and industrial engineering and master’s in statistics from the University of Arizona in 2019. She received her bachelor’s degree in industrial and systems engineering from Sharif University of Technology, Iran, in 2014. Her research focuses on mixed reality, virtual reality, augmented reality and dynamic, data-driven application systems by utilizing applied machine learning, simulation and optimization models in agro-industry, transportation, healthcare, and manufacturing. She is a member of the Institute of Industrial and Systems Engineers (IISE) and Institute of Operation Research and Management Sciences. In 2019, she received the IISE Annual Meeting Best Paper Award in the Data Analytics and Information Systems track.