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Gas source localization and mapping with mobile robots: A review

Adam Francis, Shuai Li Orcid Logo, Christian Griffiths, Johann Sienz Orcid Logo

Journal of Field Robotics, Volume: 39, Issue: 8, Pages: 1341 - 1373

Swansea University Authors: Adam Francis, Shuai Li Orcid Logo, Christian Griffiths, Johann Sienz Orcid Logo

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DOI (Published version): 10.1002/rob.22109

Abstract

Within the last couple of decades, there has been increasing research into the use of mobile robots for gas sensing applications. This has led to many different branches of research, most notably on the topics of gas distribution mapping and source localization. This paper aims to provide an up to d...

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Published in: Journal of Field Robotics
ISSN: 1556-4959 1556-4967
Published: Wiley 2022
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URI: https://cronfa.swan.ac.uk/Record/cronfa60541
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first_indexed 2022-07-20T08:38:00Z
last_indexed 2023-01-13T19:20:44Z
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spelling 2022-12-22T09:44:58.5222237 v2 60541 2022-07-20 Gas source localization and mapping with mobile robots: A review 8449248c17fec32f131097c0d1a768cc Adam Francis Adam Francis true false 42ff9eed09bcd109fbbe484a0f99a8a8 0000-0001-8316-5289 Shuai Li Shuai Li true false 84c202c256a2950fbc52314df6ec4914 Christian Griffiths Christian Griffiths true false 17bf1dd287bff2cb01b53d98ceb28a31 0000-0003-3136-5718 Johann Sienz Johann Sienz true false 2022-07-20 FGSEN Within the last couple of decades, there has been increasing research into the use of mobile robots for gas sensing applications. This has led to many different branches of research, most notably on the topics of gas distribution mapping and source localization. This paper aims to provide an up to date and comprehensive overview of the research on these topics for both controlled and uncontrolled environments with ground-based or aerial robots. To complement other review papers, a greater focus is placed on recent probabilistic algorithms developed for both single robot and multirobot applications. Journal Article Journal of Field Robotics 39 8 1341 1373 Wiley 1556-4959 1556-4967 E-nose, gas discrimination, gas distribution mapping, gas source localization, mobile robot olfaction 1 12 2022 2022-12-01 10.1002/rob.22109 http://dx.doi.org/10.1002/rob.22109 COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University SU Library paid the OA fee (TA Institutional Deal) The authors would like to acknowledge the support of the Future Manufacturing Research Institute, College of Engineering, Swansea University and Advanced Sustainable Manufacturing Technologies (ASTUTE 2022) project, which is partly funded from the EU's European Regional Development Fund through the Welsh European Funding Office, in enabling the research upon which this paper is based. Funding: Engineering and Physical Sciences Research Council. 2022-12-22T09:44:58.5222237 2022-07-20T09:28:33.0118414 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised Adam Francis 1 Shuai Li 0000-0001-8316-5289 2 Christian Griffiths 3 Johann Sienz 0000-0003-3136-5718 4 60541__24900__538f1a8807934864923822b0e129648a.pdf 60541.VOR.pdf 2022-08-09T16:20:46.2842409 Output 6632509 application/pdf Version of Record true This is an open access article under the terms of the Creative Commons Attribution License true eng http://creativecommons.org/licenses/by/4.0/
title Gas source localization and mapping with mobile robots: A review
spellingShingle Gas source localization and mapping with mobile robots: A review
Adam Francis
Shuai Li
Christian Griffiths
Johann Sienz
title_short Gas source localization and mapping with mobile robots: A review
title_full Gas source localization and mapping with mobile robots: A review
title_fullStr Gas source localization and mapping with mobile robots: A review
title_full_unstemmed Gas source localization and mapping with mobile robots: A review
title_sort Gas source localization and mapping with mobile robots: A review
author_id_str_mv 8449248c17fec32f131097c0d1a768cc
42ff9eed09bcd109fbbe484a0f99a8a8
84c202c256a2950fbc52314df6ec4914
17bf1dd287bff2cb01b53d98ceb28a31
author_id_fullname_str_mv 8449248c17fec32f131097c0d1a768cc_***_Adam Francis
42ff9eed09bcd109fbbe484a0f99a8a8_***_Shuai Li
84c202c256a2950fbc52314df6ec4914_***_Christian Griffiths
17bf1dd287bff2cb01b53d98ceb28a31_***_Johann Sienz
author Adam Francis
Shuai Li
Christian Griffiths
Johann Sienz
author2 Adam Francis
Shuai Li
Christian Griffiths
Johann Sienz
format Journal article
container_title Journal of Field Robotics
container_volume 39
container_issue 8
container_start_page 1341
publishDate 2022
institution Swansea University
issn 1556-4959
1556-4967
doi_str_mv 10.1002/rob.22109
publisher Wiley
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised
url http://dx.doi.org/10.1002/rob.22109
document_store_str 1
active_str 0
description Within the last couple of decades, there has been increasing research into the use of mobile robots for gas sensing applications. This has led to many different branches of research, most notably on the topics of gas distribution mapping and source localization. This paper aims to provide an up to date and comprehensive overview of the research on these topics for both controlled and uncontrolled environments with ground-based or aerial robots. To complement other review papers, a greater focus is placed on recent probabilistic algorithms developed for both single robot and multirobot applications.
published_date 2022-12-01T04:18:44Z
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score 10.97096

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