Rinat R. Galin
PhD in Technical Sciences, V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Laboratory of Cyber-Physical Systems, Senior Research Scientist, 65, Profsoyuznaya ul., Moscow, 117997, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it., ORCID: 0000-0001-6429-7868
Roman V. Meshcheryakov
Doctor of Technical Science, Professor, V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Laboratory of Cyber-Physical Systems, Chief Research Scientist, 65, Profsoyuznaya ul., Moscow, 117997, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it., ORCID: 0000-0002-1129-8434
Yaroslav A. Turovskiy
PhD in Medical Sciences, Doctor of Technical Science, V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Laboratory of Control Based on Incomplete Data, Leading Research Scientist, 65, Profsoyuznaya ul., Moscow, 117997, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it., ORCID: 0000-0002-5290-885X
Saniya B. Galina
V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Laboratory of Cyber-Physical Systems, Research Scientist, 65, Profsoyuznaya ul., Moscow, 117997, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it., ORCID: 0000-0001-5242-0996
Anastasia O. Iskhakova
PhD in Technical Sciences, V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Laboratory of Cyber-Physical Systems, Senior Research Scientist, 65, Profsoyuznaya ul., Moscow, 117997, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it., ORCID: 0000-0001-8358-298X
Vladimir I. Venets
PhD in Physics and Mathematics, V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Laboratory of Cyber-Physical Systems, Senior Research Scientist, 65, Profsoyuznaya ul., Moscow, 117997, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it.
Received March 11, 2025
Abstract
The work is devoted to the study of UAV control systems based on myographic interface, which allows controlling the vehicle using muscle signals, providing intuitive and natural human-machine interaction, as well as to the evaluation of operator psychological factors affecting control. A general scheme of the UAV control system with feedback is presented. The authors conducted an experiment on practicing scripted UAV flights using myographic interface and classical keyboard control. During considering the relative number of errors, it was found that the number of errors for the myographic interface is higher compared to the keyboard interface, but the dependence is due to the unconventional and new way of controlling the UAV, operating in discrete mode in contrast to the keyboard interface. The inverse relationship of the expression of the visual channel of perception with the number of errors has been established regardless of the type of interface used.
Key words
Myographic interface, control system, psychological factors, unmanned aerial vehicle.
Acknowledgements
The reported study was funded by the Russian Science Foundation according to the research project No. 23-19-00664, https://rscf.ru/en/project/23-19-00664/.
Bibliographic description
Galin, R.R. et al. (2025), "Unmanned aerial vehicle control using myographic interface and feedback system", Robotics and Technical Cybernetics, vol. 13, no. 2, pp. 135-142, EDN: HADIKO. (in Russian).
EDN
HADIKO
UDC identifier
623.746-519:004.8
References