IIOT for legacy and intelligent factory machines with AR and LLM feedback with a Digital Twin demonstration of real-time IOT for architecture/building applications using Omniverse.
PI: Prof. Sam Anand (Director of Smart-Manufacturing Lab, Dept. of Mechanical Engineering, CEAS)
co-PI: Prof. Ming Tang (Director of XR-Lab, School of Architecture & Interior Design, DAAP)
$40,000. UC Industry 4.0/5.0 Institute Consortium Research Project: 01.2024-01.2025
Primary Objective: To develop a conversational large language modeling system that acquires data from legacy machines, digital machines, environmental data, real-time data, and historical data within an IIoT environment to create a digital twin for assisting in real-time maintenance and assistance (Application Use Case: Digital Future’s Building)
The University of Cincinnati, through its Digital Futures complex, will work collaboratively with the UC Center for Simulations & Virtual Environments Research, Lindner College of Business, UC DAAP XR-Lab, and Kao to develop concepts and a minimum viable product for a Jergens virtual tanning experience called the ‘Glowverse.’
KAO-STP-Glowverse VR retail project. GLOWVERSE VIRTUAL SPA (VR) development. UC-SIM + XR-Lab +College of Business. Funded by KAO. PI: Chris Collins. Co-PI: Ming Tang, Noah Van. $52,122. Period: 2.2023-11.2023.
UCSIM Project Lead: Chris M. Collins, Center for Simulations & Virtual Environments
Research
UCSIM Technical Lead: Ryan Gorsuch, Center for Simulations & Virtual Environments
Research
UC DAAP Design Lead: Ming Tang, Director of XR-Lab. Registered Architect, RA, NCARB, LEED AP (BD+C),
and Associate Professor at the School of Architecture and Interior Design, College of Design,
Architecture, Art, and Planning
UC LCOB Marketing Lead: Noah Van Bergen, Asst. Professor, Marketing, Linder Business
Honors Faculty, Carl H. Lindner College of Business
Immersive vs. Traditional Training – a comparison of training modalities
PIs: Tamara Lorenz, Ming Tang
Dr. Tamara Lorenz. Associate Professor. Embodied Interactive Systems Lab, Industry 4.0 & 5.0 Institute (I45I), Center for Cognition, Action, and Perception (CAP)
Ming Tang. Professor. Extended Reality Lab, Industry 4.0 & 5.0 Institute (I45I), Institute for Research in Sensing (IRiS)
Consortium Research Project: evaluate the effectiveness of an immersive training protocol against different traditional training modalities.
Is immersive training equally as effective or better than traditional training?
Is immersive training beneficial for specific types of training (skill, behavior), while other modalities are better for other types (e.g. knowledge acquisition)?
Does the benefit of immersive VR training warrant the initial investment in equipment and subsequent investment in project building, running, and sustenance?
Proposal
Evaluation of the effectiveness of an immersive training protocol against different traditional training modalities.
Evaluation of modality-dependent benefits for different learning goals.
Derivation of assessment metrics for VR training against other training modalities.
Training scenario: DAAP Fire Evacuation
traditional training with slides and maps.
VR training with an immersive and interactive experience.
Thanks to the Institute’s Industrial Advisory Board (IAB) and industry patrons, including Siemens, Kinetic Vision, John Deere, Stress Engineering Services, Innovative Numberics, and Ethicon.