Large language models and AI-driven virtual laboratory for FrED and FrED factory: materials, products, and sustainable digital manufacturing
Name
fcomp-7-1701666.pdf
Description
Published version
Size
7.21 MB
Format
Adobe PDF
Checksum (MD5)
44d50b12e92e71ade582da92eca595e3
Author(s)
Ponce, Pedro
Anthony, Brian
Méndez, Juana Isabel
Bradley, Russel
Guerrero, Joan
Mata, Omar
Date Issued
January 29, 2026
Journal
Frontiers in Computer Science
Publisher
Frontiers Media SA
Citation
Ponce P, Anthony B, Méndez JI, Bradley R, Guerrero J and Mata O (2026) Large language models and AI-driven virtual laboratory for FrED and FrED factory: materials, products, and sustainable digital manufacturing. Front. Comput. Sci. 7:1701666.
Version
Final published version
Abstract
Developing new products requires innovative materials and advanced manufacturing methods. Consequently, establishing specialized laboratories capable of producing new products or enhancing manufacturing processes has become essential. Additionally, the complexity of product design, which involves multiple subsystems, requires extensive iteration, making the process both challenging and costly. Evaluating manufacturing conditions further adds to these difficulties and expenses. In response, cutting-edge laboratories utilizing advanced technologies have been developed. These laboratories offer several advantages, such as remote operation, where equipment can be controlled and tests conducted systematically from a distance. Moreover, Virtual Reality (VR) laboratories have gained traction due to their lower costs and flexibility. VR laboratories can be adjusted and used to train students and operators through immersive technologies that simulate real-world scenarios. This paper proposes an innovative virtual laboratory deployed on Oculus Quest 3 and Android devices. The VR laboratory interacts with users through large language models. The VR laboratory features a virtual Fiber Extrusion Device (FrED) developed at MIT, as well as expert avatars specializing in specific topics, offering solutions to develop soft skills. Furthermore, the VR experience is tailored to the user’s personality, enhancing the overall experience. Factory conditions are also simulated and optimized within the immersive laboratory using advanced optimization algorithms.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.3389/fcomp.2025.1701666
