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A Real-Time Immersive Augmented Reality Interface for Large-Scale USD-Based Digital Twins

Khang Quang Tran, Ernst L. Leiss, Nikolaos V. Tsekos, Jose Daniel Velazco-Garcia

Research output: Contribution to journalArticlepeer-review

Abstract

Digital twins are increasingly utilized across all lifecycle stages of physical entities. Augmented reality (AR) offers real-time immersion into three-dimensional (3D) data, which provides an immersive experience with dynamic, high-quality, and multi-dimensional digital twins. A robust and customizable data platform is essential to create scalable 3D digital twins; Universal Scene Description (USD) provides these necessary qualities. Given the potential for integrating immersive AR and 3D digital twins, we developed a software application to bridge the gap between multi-modal AR immersion and USD-based digital twins. Our application provides real-time, multi-user AR immersion into USD-based digital twins, making it suitable for time-critical tasks and workflows. AR digital twin software is currently being tested and evaluated in an application we are developing to train astronauts. Our work demonstrates the feasibility of integrating immersive AR with dynamic 3D digital twins. AR-enabled digital twins have the potential to be adopted in various real-time, time-critical, multi-user, and multi-modal workflows.

Original languageEnglish (US)
Article number50
JournalVirtual Worlds
Volume4
Issue number4
DOIs
StatePublished - Dec 2025

Keywords

  • NVIDIA Omniverse
  • Universal Scene Description
  • aerospace
  • augmented reality
  • digital twin
  • real-time collaboration

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

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