Amorim Marques, J.V., Lorente, M.-T. and Gross, R. orcid.org/0000-0003-1826-1375 (2024) Multi-robot systems research: a data-driven trend analysis. In: Siciliano, B. and Khatib, O., (eds.) Distributed Autonomous Robotic Systems. DARS 22. 16th International Symposium on Distributed Autonomous Robotic Systems 2022 (DARS 2022), 28-30 Nov 2022, Montbéliard, France. Springer Tracts in Advanced Robotics, 28 . Springer , pp. 537-549. ISBN 978-3-031-51496-8
Abstract
This paper provides a data-driven analysis of the trends of research on multi-robot systems (MRS). First, it reports the findings of an exhaustive search of the MRS studies published from 2010 to 2020 in 27 leading robotics journals, including a quantitative analysis of trends. Second, it reports the findings of a survey capturing the views of 68 leading experts in the field of MRSs. Finally, it summarises the findings.
Metadata
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Copyright, Publisher and Additional Information: | © 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG. This is an author-produced version of a paper subsequently published in Distributed Autonomous Robotic Systems. Uploaded in accordance with the publisher's self-archiving policy. | ||||
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Institution: | The University of Sheffield | ||||
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) | ||||
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Depositing User: | Symplectic Sheffield | ||||
Date Deposited: | 30 Jun 2023 08:40 | ||||
Last Modified: | 13 Feb 2024 12:03 | ||||
Status: | Published | ||||
Publisher: | Springer | ||||
Series Name: | Springer Tracts in Advanced Robotics | ||||
Refereed: | Yes | ||||
Identification Number: | https://doi.org/10.1007/978-3-031-51497-5_38 | ||||
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