[en] 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
Research center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SpaceR – Space Robotics
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
GARCIA, Gabriel ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Space Robotics
RICHARD, Antoine ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust > Space Robotics > Team Miguel Angel OLIVARES MENDEZ
OLIVARES MENDEZ, Miguel Angel ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Space Robotics
FNR17679211 - CAESAR-XR - Collaborative Exploration And Structural Analysis Using Heterogenous Multi-robot System In Extreme Environments, 2022 (01/12/2022-30/11/2026) - Gabriel Garcia