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Autores principales: Di Lauro, Federica, Sorrenti, Domenico G., Sotelo, Miguel Angel
Formato: Preprint
Publicado: 2025
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Acceso en línea:https://arxiv.org/abs/2507.21553
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author Di Lauro, Federica
Sorrenti, Domenico G.
Sotelo, Miguel Angel
author_facet Di Lauro, Federica
Sorrenti, Domenico G.
Sotelo, Miguel Angel
contents Multi-robot SLAM aims at localizing and building a map with multiple robots, interacting with each other. In the work described in this article, we analyze the pipeline of a decentralized LiDAR SLAM system to study the current limitations of the state of the art, and we discover a significant source of failures, i.e., that the loop detection is the source of too many false positives. We therefore develop and propose a new heuristic to overcome these limitations. The environment taken as reference in this work is the highly challenging case of underground tunnels. We also highlight potential new research areas still under-explored.
format Preprint
id arxiv_https___arxiv_org_abs_2507_21553
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Multi-robot LiDAR SLAM: a practical case study in underground tunnel environments
Di Lauro, Federica
Sorrenti, Domenico G.
Sotelo, Miguel Angel
Robotics
Multi-robot SLAM aims at localizing and building a map with multiple robots, interacting with each other. In the work described in this article, we analyze the pipeline of a decentralized LiDAR SLAM system to study the current limitations of the state of the art, and we discover a significant source of failures, i.e., that the loop detection is the source of too many false positives. We therefore develop and propose a new heuristic to overcome these limitations. The environment taken as reference in this work is the highly challenging case of underground tunnels. We also highlight potential new research areas still under-explored.
title Multi-robot LiDAR SLAM: a practical case study in underground tunnel environments
topic Robotics
url https://arxiv.org/abs/2507.21553