
Leading Lunaverse Acivities and Directing Development, integration and Common Operational Picture (COP)
Beta Version in development by the LUNAVERSE Consortium - Password Needed
Access is limited to LUNAVERSE Consortium Members
LUNAVERSE Generative Pre-trained Transformer (GPT)
Ask me anything about the Moon
Artificial Intelligence (AI) AI Driven Knowledge: GPT based on the OSSF Foundation model.
Ask me anything about OSSF
LUNAVERSE is an industrial metaverse innovation accelerator dedicated to transforming lunar space exploration through AI-driven digital twins, collaborative engineering, and economic simulation. It builds on existing NASA open data sets and will be the foundation of the next generation of Lunar Digital 3D mapping and related spatial data infrastructure.
How The LUNAVERSE simulates lunar industries:
The LUNAVERSE is a high-fidelity industrial simulation environment designed to model, test, and de-risk lunar industries before deploying them on the real Moon. It blends physics-based simulation, systems engineering, economic modeling, and multi-user interaction in a persistent digital twin of the lunar surface—essentially becoming a metaverse for the Moon. Here's how it simulates Moon industries:
1. Physics-Based Terrain and Environmental Simulation
2. Industrial Systems Emulation
3. Interoperable Digital Engineering
4. Economic and Policy Simulation
5. Multi-user Collaboration and Decision-Making
6. Digital Proving Ground for Earth-to-Moon Transition
STRATEGIC VALUE
The LUNAVERSE acts as a rehearsal space for humanity’s lunar industrial age—de-risking investment, building trust between partners, and compressing decades of learning into accelerated development cycles. It is also a digital proving ground and synthetic training environment for robotic AI driven assets
Its ultimate role is to ensure that by the time we build on the Moon, we're not improvising—we're executing a tested, adaptable, and cooperative industrial strategy.
Lunar QuickMap, created by the NASA Lunar Reconnaissance Orbiter (LRO) Camera (LROC) team, is a comprehensive, web-based tool for exploring and analyzing the Moon's surface. It allows users to view and overlay data from various lunar missions, such as mineral abundance, topography, and impact craters, using customizable layers and querying tools. QuickMap provides detailed, high-resolution data for scientific research, mission planning, and educational purposes.
Moon Trek is a major new release that significantly upgrades and builds upon the capabilities of its predecessor, NASA’s Lunar Mapping and Modeling Portal (LMMP). The new Trek interface provides greatly improved navigation, 3D visualization, fly-overs, performance, and reliability. Use of the Trek interface also provides compatibility with the other portals developed by NASA’s Lunar and Planetary Mapping and Modeling Project.
The Digital Lunar Exploration Sites Unreal Simulation Tool (DUST) is a 3D visualization application of the Lunar South Pole. The DLES terrain is generated from LRO digital elevation model data, SPICE kernel ephemerides, synthetic surface textures, and representative crater and rock distributions. Its intended use is for early mission traverse and lunar landing simulation capability assessments for HLS, EHP, M2M, and SAO. This 3D visualization tool can be used as an early reference to enable candidate vendors to perform initial studies of the lunar terrain and lighting conditions. DUST uses Digital Elevation Model (DEM) data from Goddards PGDA website (https://pgda.gsfc.nasa.gov/products/view/66) as its lunar heightmap data source. Additional lunar surface characteristics can be found in ACD-50044, Lunar Surface Data Book.
These publications represent some of the key features and concepts driving the LUNAVERSE and the OSSF AI Foundation Model.
LUNAVERSE
Copyright © 2025 LUNAVERSE - All Rights Reserved.