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

As part of the Rhizome 2.0 project, focusing on the development of a habitat in a Martian lava tube, the robotic mapping of an analogue lava tube on Earth has been implemented with the goal to assess its suitability for building construction and habitation. This paper presents the robotic mapping conducted in Grotta di Monte Intraleo in Sicily, detailing the implementation and outlining challenges and mission insights. Various mapping and data collection methods in addition to robotic mapping using LiDAR have been implemented and compared to identify optimal approaches for increasing accuracy, efficiency, and resource usage. The overall strategy relies on multi-techniques scanning to enhance redundancy and ensure comprehensive data acquisition that is providing a robust foundation for future robotic exploration and habitat planning.

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Publication Details

Journal
Frontiers in Robotics and AI
Published
2026-07-27
DOI
https://doi.org/10.3389/frobt.2026.1855443
Primary Topic
Robotics and Sensor-Based Localization
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Luka Peternel, Giuseppe Calabrese, Henriette Bier, Arwin Hidding et al.
Frontiers in Robotics and AI
Robotics and Sensor-Based Localization
article

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

Luka Peternel, Giuseppe Calabrese, Henriette Bier, Arwin Hidding, Francesco Axel Pio Romio, Alexander James Becoy
article en

Abstract

As part of the Rhizome 2.0 project, focusing on the development of a habitat in a Martian lava tube, the robotic mapping of an analogue lava tube on Earth has been implemented with the goal to assess its suitability for building construction and habitation. This paper presents the robotic mapping conducted in Grotta di Monte Intraleo in Sicily, detailing the implementation and outlining challenges and mission insights. Various mapping and data collection methods in addition to robotic mapping using LiDAR have been implemented and compared to identify optimal approaches for increasing accuracy, efficiency, and resource usage. The overall strategy relies on multi-techniques scanning to enhance redundancy and ensure comprehensive data acquisition that is providing a robust foundation for future robotic exploration and habitat planning.

Frontiers in Robotics and AIVol. 13
University of Ferrara (IT)
European Space Agency, Technische Universiteit Delft, Istituto Nazionale di Geofisica e Vulcanologia, Moonshot Research and Development Program
Climate action
Openalex Percentile: Top 100%
Robotics and Sensor-Based Localization
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Robotic lava tube mapping and multimodal data collection using quadruped and LiDAR — Luka Peternel, Giuseppe Calabrese, et al. · Frontiers in Robotics and AI (2026) | TGRS Research Map | TGRS