An approach to forecasting promising areas of development of the robotics industry based on statistical reports of the International Federation of Robotics (IFR) in conditions of economic uncertainty

An approach to forecasting promising areas of development of the robotics industry based on statistical reports of the International Federation of Robotics (IFR) in conditions of economic uncertainty

Alexander B. Nikolaev
PhD in Physics and Mathematics, Russian State Scientific Center for Robotics and Technical Cybernetics (RTC), Deputy Head of Department, 21, Tikhoretsky pr., Saint Petersburg, 194064, Russia,
tel.: +7(812)552-45-21, This email address is being protected from spambots. You need JavaScript enabled to view it.


Received January 24, 2023

Abstract
A simple method of forming a forecast rating of the most promising directions of robotics development at the moment is proposed, depending on the current market situation affected by unstable economic factors. The advantage of the considered methodology is that, firstly, a relevant-processed array of data regularly published in the annual statistical collections of IFR - World Robotics is used as the basis of the analysis, secondly, the availability of varying preferences of factors affecting the economic situation, and, thirdly– simplicity. The results obtained can be used by interested organizations both for the development of conceptual documents on the development of robotics, and for the development of proposals for the initiation of commercial projects.

Key words
Robotics market, areas of application of robots, directions of robotics development, forecast of robot development, promising directions of robotics.

Acknowledgements
The work is financially supported by Ministry of Science and Higher Education of Russian Federation in the frame of state assignment RTC No. 075-01595-23-00.

DOI
10.31776/RTCJ.11302

Bibliographic description
Nikolaev, A.B. (2023). "An approach to forecasting promising areas of development of the robotics industry based on statistical reports of the International Federation of Robotics (IFR) in conditions of economic uncertainty". Robotics and Technical Cybernetics, vol. 11, no. 3, pp. 174-179, 10.31776/RTCJ.11302. (in Russian).

UDC identifier:
001.891.3:004.896:007.52:33

References

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