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.
All authors contributed equally to this work.
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Notes
- 1.
The documents of one of the journals (International Journal of Robotics & Automation) could not be accessed in full and were hence excluded.
- 2.
The gender for each prospective participant was estimated. Actual participants could choose to report their gender.
- 3.
See geographic regions on https://unstats.un.org/unsd/methodology/m49/.
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Acknowledgments
This study was conducted as part of the Multi-Robot Systems project (Oct 2019–Dec 2020), which was funded by the Defence Science and Technology Laboratory (contract no DSTL-1000141223). The authors thank the 68 participants of the expert survey, and Alejandro R. Mosteo for feedback on the design of the expert survey.
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Marques, J.V.A., Lorente, MT., Groß, R. (2024). Multi-Robot Systems Research: A Data-Driven Trend Analysis. In: Bourgeois, J., et al. Distributed Autonomous Robotic Systems. DARS 2022. Springer Proceedings in Advanced Robotics, vol 28. Springer, Cham. https://doi.org/10.1007/978-3-031-51497-5_38
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DOI: https://doi.org/10.1007/978-3-031-51497-5_38
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