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Active Mapping and Robot Exploration: A Survey
Simultaneous localization and mapping responds to the problem of building a map of the environment without any prior information and based on the data obtained from one or more sensors. In most situations, the robot is driven by a human operator, but some systems are capable of navigating autonomous...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8037480/ https://www.ncbi.nlm.nih.gov/pubmed/33918107 http://dx.doi.org/10.3390/s21072445 |
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author | Lluvia, Iker Lazkano, Elena Ansuategi, Ander |
author_facet | Lluvia, Iker Lazkano, Elena Ansuategi, Ander |
author_sort | Lluvia, Iker |
collection | PubMed |
description | Simultaneous localization and mapping responds to the problem of building a map of the environment without any prior information and based on the data obtained from one or more sensors. In most situations, the robot is driven by a human operator, but some systems are capable of navigating autonomously while mapping, which is called native simultaneous localization and mapping. This strategy focuses on actively calculating the trajectories to explore the environment while building a map with a minimum error. In this paper, a comprehensive review of the research work developed in this field is provided, targeting the most relevant contributions in indoor mobile robotics. |
format | Online Article Text |
id | pubmed-8037480 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-80374802021-04-12 Active Mapping and Robot Exploration: A Survey Lluvia, Iker Lazkano, Elena Ansuategi, Ander Sensors (Basel) Review Simultaneous localization and mapping responds to the problem of building a map of the environment without any prior information and based on the data obtained from one or more sensors. In most situations, the robot is driven by a human operator, but some systems are capable of navigating autonomously while mapping, which is called native simultaneous localization and mapping. This strategy focuses on actively calculating the trajectories to explore the environment while building a map with a minimum error. In this paper, a comprehensive review of the research work developed in this field is provided, targeting the most relevant contributions in indoor mobile robotics. MDPI 2021-04-02 /pmc/articles/PMC8037480/ /pubmed/33918107 http://dx.doi.org/10.3390/s21072445 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Lluvia, Iker Lazkano, Elena Ansuategi, Ander Active Mapping and Robot Exploration: A Survey |
title | Active Mapping and Robot Exploration: A Survey |
title_full | Active Mapping and Robot Exploration: A Survey |
title_fullStr | Active Mapping and Robot Exploration: A Survey |
title_full_unstemmed | Active Mapping and Robot Exploration: A Survey |
title_short | Active Mapping and Robot Exploration: A Survey |
title_sort | active mapping and robot exploration: a survey |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8037480/ https://www.ncbi.nlm.nih.gov/pubmed/33918107 http://dx.doi.org/10.3390/s21072445 |
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