Enabling Interoperable Digital Twins for Collaborative Lunar Exploration <sup>1</sup>

We present the results of a proof-of-concept development for standard-based interoperability between distributed and disparate Digital Twins (DT) systems for lunar exploration. The project was undertaken by a team from NASA Jet Propulsion Laboratory (JPL), California State University, Northridge (CSUN), Verses AI Inc., and the Spatial Web Foundation. Leveraging the soon-to-be-approved IEEE P2874 Spatial Web standard, the team developed and demonstrated real-time, cross-platform collaborative lunar explorations between DT systems at JPL and CSUN. Using a spatial web plug-in from Verses AI Inc., the team demonstrated real-time joint testing of a lander model at CSUN and a rover DT model at JPL on distributed NVIDIA Omniverse platforms via standard-based spatial web protocols. Additionally, cross-platform collaborations between Omniverse and Unity platforms were demonstrated using these protocols. The team also showcased intellectual property protection by executing a Physics-Informed Neural Network (PINN) model remotely at JPL while testing the model at CSUN. To our knowledge, this project marks the first demonstration of interoperability between distributed and disparate DT systems using the spatial web standard.

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Publication Details

Published
2025-03-01
DOI
https://doi.org/10.1109/aero63441.2025.11068549
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00

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article

Enabling Interoperable Digital Twins for Collaborative Lunar Exploration 1

Nhut Ho, Alessandro Muzzi, Jared Carrillo, Jamie Hynes et al.
Digital Transformation in Industry
article

Enabling Interoperable Digital Twins for Collaborative Lunar Exploration 1

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article en

Abstract

We present the results of a proof-of-concept development for standard-based interoperability between distributed and disparate Digital Twins (DT) systems for lunar exploration. The project was undertaken by a team from NASA Jet Propulsion Laboratory (JPL), California State University, Northridge (CSUN), Verses AI Inc., and the Spatial Web Foundation. Leveraging the soon-to-be-approved IEEE P2874 Spatial Web standard, the team developed and demonstrated real-time, cross-platform collaborative lunar explorations between DT systems at JPL and CSUN. Using a spatial web plug-in from Verses AI Inc., the team demonstrated real-time joint testing of a lander model at CSUN and a rover DT model at JPL on distributed NVIDIA Omniverse platforms via standard-based spatial web protocols. Additionally, cross-platform collaborations between Omniverse and Unity platforms were demonstrated using these protocols. The team also showcased intellectual property protection by executing a Physics-Informed Neural Network (PINN) model remotely at JPL while testing the model at CSUN. To our knowledge, this project marks the first demonstration of interoperability between distributed and disparate DT systems using the spatial web standard.

Jet Propulsion Laboratory (US), California State University, Northridge (US), Université Paris Sciences et Lettres (FR), CRC for Spatial information (AU), Advanced Projects Research Incorporated (United States) (US)
National Aeronautics and Space Administration
Openalex Percentile: Top 76%
Digital Transformation in Industry
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