Welcome to IMRLAB (Industrial Mixed Reality Laboratory)
Founded in 2022, IMRLAB is a research laboratory dedicated to advancing Mixed Reality (MR) technologies, covering the full spectrum of immersive digital experiences from Augmented Reality (AR) to Virtual Reality (VR) as a powerful tool for industrial processes.
Our mission: provide validated guidelines for adopting MR in the industrial sector.
In the industrial sector, MR has demonstrated its ability to enhance operational efficiency, improve workforce performance, and reduce costs across various business areas. Its applications are extensive, offering potential support for nearly all activities both within and beyond factory settings. However, many companies still resist adopting MR technologies in their processes.
We take a user-centric approach to test our proposals and collaborate with companies to identify the best solutions for end-users. As a team of engineers, we primarily focus on designing user experiences with MR technology. In addition, we develop prototypes of MR applications. Our approach encompasses the entire industrial landscape, extending beyond manufacturing processes. We also offer solutions for various sectors, including education, medicine, and cultural heritage.
Scientific director/founder: Prof. Michele Gattullo
Research
Exploiting MR for education
New updates
IMRlab attending IEEE VR 2025, to present 2 contributions: a paper to VR-HSA workshop and a paper for the journal track
Prof. Michele Gattullo visited the NTNU – Norwegian University of Science and Technology within the Erasmus+ program
PhD student Luana Marangelli started a new research on the pioneering role of Cross Reality to drive industrial innovation
PhD student Sara Romano hosted at the UPV – Universitat Politecnica de Valencia
Latest publications
Laviola, E., Uva, A. E., & Gattullo, M. (2024). The minimal AR authoring approach: Validation in a real assembly scenario. Computers in Industry, 154, 104026.
Romano, S., Laviola, E., Gattullo, M., Fiorentino, M., & Uva, A. E. (2023). More Arrows in the Quiver: investigating the use of auxiliary models to localize in-view components with augmented reality. IEEE Transactions on Visualization and Computer Graphics, 29(11), 4483-4493.
Laviola, E., Gattullo, M., Evangelista, A., Fiorentino, M., & Uva, A. E. (2023). In-situ or side-by-side? A user study on augmented reality maintenance instructions in blind areas. Computers in Industry, 144, 103795.