Robotic lava tube mapping and multimodal data collection using quadruped and LiDAR

Journal Article (2026)
Author(s)

A.J. Hidding (TU Delft - Architecture and the Built Environment)

H.H. Bier (TU Delft - Architecture and the Built Environment)

L. Peternel (TU Delft - Mechanical Engineering)

A.J. Becoy (Student TU Delft)

F.A.P. Romio (University of Ferrara, TU Delft - Architecture and the Built Environment)

G. Calabrese (International Research School of Planetary Sciences)

Research Group
Building Knowledge
DOI related publication
https://doi.org/10.3389/frobt.2026.1855443 Final published version
More Info
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Publication Year
2026
Language
English
Research Group
Building Knowledge
Journal title
Frontiers In Robotics and AI
Volume number
13
Article number
1855443
Downloads counter
3
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Abstract

As part of TU Delft Rhizome 2.0 and Moonshot projects, focusing on the development of extraterrestrial habitats in lava tubes, the robotic mapping of an analogue lava tube in Sicily has been studied with the future goal of assessing its suitability for building construction. The main objective of the research was to survey a lava tube and acquire a novel dataset for future research, while also analyzing the collected data to evaluate possible future lava tube exploration scenarios for the Moon and Mars. This paper presents the robotic mapping conducted in Grotta di Monte Intraleo, detailing the implementation and outlining challenges and insights, leading to the new dataset. Various mapping and data collection methods, including robotic mapping using LiDAR, was explored. The overall strategy relies on multi-technique scanning to enhance redundancy and ensure comprehensive data acquisition, that is providing a robust foundation for future robotic exploration and habitat planning.