# PLUME: Procedural Layer Underground Modeling Engine

**Authors:** Gabriel Manuel Garcia, Antoine Richard, Miguel Olivares-Mendez

arXiv: 2508.20926 · 2025-10-31

## TL;DR

PLUME is a flexible procedural generation framework for creating diverse 3D underground environments, supporting applications like AI training, robotics evaluation, and scientific visualization, aiding space exploration research.

## Contribution

Introduces PLUME, an open-source procedural engine for generating realistic underground environments aligned with solar system diversity.

## Key findings

- Successfully integrated with robotic simulators
- Enables rapid environment generation for exploration algorithms
- Supports diverse underground feature modeling

## Abstract

As space exploration advances, underground environments are becoming increasingly attractive due to their potential to provide shelter, easier access to resources, and enhanced scientific opportunities. Although such environments exist on Earth, they are often not easily accessible and do not accurately represent the diversity of underground environments found throughout the solar system. This paper presents PLUME, a procedural generation framework aimed at easily creating 3D underground environments. Its flexible structure allows for the continuous enhancement of various underground features, aligning with our expanding understanding of the solar system. The environments generated using PLUME can be used for AI training, evaluating robotics algorithms, 3D rendering, and facilitating rapid iteration on developed exploration algorithms. In this paper, it is demonstrated that PLUME has been used along with a robotic simulator. PLUME is open source and has been released on Github. https://github.com/Gabryss/P.L.U.M.E

## Full text

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## Figures

12 figures with captions in the complete paper: https://tomesphere.com/paper/2508.20926/full.md

## References

22 references — full list in the complete paper: https://tomesphere.com/paper/2508.20926/full.md

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Source: https://tomesphere.com/paper/2508.20926