Virtual/Augmented Reality
Co-Principal Investigator
Dr. Fatemeh Jamshidi
Fatemeh Jamshidi, Ph.D is an Assistant Professor of Computer Science at Cal Poly Pomona, where she joined in August 2024. She brings creativity and technical expertise, with research that bridges artificial intelligence, computer science education, computer music, game AI, human-AI collaboration, and augmented and mixed reality. Dr. Jamshidi is one of the Co-PIs for the CREST-RASM grant.
Subproject 2
Intelligent Human-System Integration Using Augmented and Virtual Reality (AR/VR)
Overview
Manufacturing in the United States is experiencing a resurgence, with significant post-pandemic growth and investments leading to job creation and substantial funding. At the same time, the rise of automation and AI is reshaping workforce needs as industries require workers with advanced technical and data-driven decision-making abilities. To address the critical skills gap, innovative and scalable solutions are required to prepare the nation’s workforce for the evolving demands of smart manufacturing. As Industry 4.0 transitions into Industry 5.0, immersive Extended Reality (XR) technologies—encompassing AR, VR, and Mixed Reality (MR)—are positioned as powerful tools for operator training and improving industrial processes.
However, current XR applications in manufacturing are limited, with insufficient visualizations and adaptability to support training and real-time monitoring and decision-making in complex manufacturing environments. Additionally, a more comprehensive assessment of XR technology applications in smart manufacturing environments must be made.
Goal
This subproject aims to unlock the potential of advanced XR technologies by creating and assessing immersive and adaptable training scenarios and enabling real-time monitoring and operational decision-making capability for complex manufacturing and assembly tasks.
Outcome
The outcome of this research provides:
- Real-time and adaptable AR/VR experiences that effectively simulate complex smart manufacturing tasks for training
- Equips workers with advanced XR tools for real-time monitoring and operational decision-making.
Research Faculty and Staff
