ARTIFICIAL INTELLIGENCE IN THE ISSUES OF RELIABILITY AND QUALITY OF ROBOTICS OF COMPLEX MILITARY SYSTEMS
- Autores: Godunov A.I.1, Shishkov S.V.2, Salamon Z.2, Melnichuk A.I.1, Alekseev A.V.3
-
Afiliações:
- Penza State University
- Branch of the Military Academy of Logistics named after Army General A.V. Khrulev in Penza
- Volga State Transport University
- Edição: Nº 3 (2025)
- Páginas: 17-25
- Seção: FUNDAMENTALS OF RELIABILITY AND QUALITY ISSUES
- URL: https://journal-vniispk.ru/2307-4205/article/view/353662
- DOI: https://doi.org/10.21685/2307-4205-2025-3-2
- ID: 353662
Citar
Texto integral
Resumo
Background. The use of robotic devices with artificial intelligence in complex military systems has led to the emergence of new problems, the solution of which is much more difficult compared to the tasks of the previous stage of improving the "human-machine interface". The authors of the work conducted a study to identify the advantages of using artificial intelligence in complex military systems and assess their reliability and quality when used in combat. Materials and methods. The study used data from open reports on statistical surveys of developers and users of robotic complex military systems, reports on the study of robotic devices. Results. The levels of artificial relative to natural intelligence are formulated, the classification of robotic devices is determined, and the reliability and quality of the use of artificial intelligence in complex military systems during combat operations are assessed. Conclusions. Artificial intelligence and robotics of complex military systems are becoming an integral part of the military industry, providing significant advantages in the field of accuracy, speed and safety of military operations and combat operations. The integration of artificial intelligence into issues of reliability and quality of robotics of complex military systems contributes to the improvement of military force and provides an advantage in the theater of military operations.
Sobre autores
Anatoly Godunov
Penza State University
Autor responsável pela correspondência
Email: avitelpgu@mail.ru
Doctor of technical sciences, professor, honored scientist of the Russian Federation, professor of the sub-department of automation and telemechanics
(40 Krasnaya strееt, Penza, Russia)Sergey Shishkov
Branch of the Military Academy of Logistics named after Army General A.V. Khrulev in Penza
Email: paii@mil.ru
Doctor of technical sciences, associate professor, professor of the sub-department of military devices
(Military town, Penza, Russia)Zain-Alabdin Salamon
Branch of the Military Academy of Logistics named after Army General A.V. Khrulev in Penza
Email: paii@mil.ru
Adjunct
(Military town, Penza, Russia)Anton Melnichuk
Penza State University
Email: pelmenio@mail.ru
Postgraduate student, engineer of the radio electronic equipment regulation and repair group
(40 Krasnaya strееt, Penza, Russia)Anton Alekseev
Volga State Transport University
Email: antonvladim@mail.ru
Candidate of technical sciences, associate professor of the sub-department of mechanics and engineering graphics
(2V Svobody street, Samara, Russia)Bibliografia
- Alyab′yeva V.G. From formal logic to symbolic logic. Vestnik Permskogo universiteta. Matematika. Mekhanika. Informatika = Bulletin of Perm University. Mathematics. Mechanics. Computer science. 2017;(2):69–76. (In Russ.)
- Proskurina D.S., Khokhlova M.I., Safin N.I. Lethal autonomous weapons systems: the future of the military industry or the threat of the fall of international humanitarian law? Yevraziyskaya advokatura = The Eurasian Legal Profession. 2020;(6):81–85. (In Russ.)
- Petrova D.A., Gayvoronskaya Ya.V., Mamychev A.Yu. Lethal autonomous systems: ethical, legal, political problems and prospects for their solution. Territoriya novykh vozmozhnostey. Vestnik Vladivostokskogo gosudarstvennogo universiteta = The territory of new opportunities. Bulletin of Vladivostok State University. 2019;(4): 33–45. (In Russ.)
- Stepanov A.A. Artificial intelligence in foreign armies. Zarubezhnoye voyennoye obozreniye = Foreign Military Review. 2021;(1):21–27. (In Russ.)
- Menshchikov A.A., Karmanovskiy N.S. Kiberustoychivost′ sistem iskusstvennogo intellekta: ucheb.-metod. posobiye = Cyber stability of artificial intelligence systems : an educational and methodological guide. Saint Petersburg: Universitet ITMO, 2024:52. (In Russ.)
- Yurevich E.I. Osnovy robototekhniki: ucheb. posobiye. 4-e izd. pererab. i dop. = Fundamentals of robotics : a textbook. 4th ed. revision. and additional. Saint Petersburg: BKHV-Peterburg, 2018:304. (In Russ.)
- Garbuk S.V. A method for assessing the impact of standardization parameters on the effectiveness of creating and applying artificial intelligence systems. Informatsionno-ekonomicheskiye aspekty standartizatsii i tekhnicheskogo regulirovaniya = Information and economic aspects of standardization and technical regulation. 2022;(3):4–14. (In Russ.)
- Shcherbakov E.V., Ivanyukha A.A., Luchnikov I.V. Application of artificial intelligence in automated control systems. Nauchnyy lider = Scientific leader. 2023;(38):104–106. (In Russ.)
- Adamova A.A. Intelligent methods of system technology management. Trudy Mezhdunarodnogo simpoziuma Nadezhnost′ i kachestvo = Proceedings of the International Symposium Reliability and Quality. 2024;1:120–127. (In Russ.)
- Godunov A.I., Kukanov S.A., Suzdal′tsev P.S. Navigation elements of an unmanned aerial vehicle flight. Trudy Mezhdunarodnogo simpoziuma Nadezhnost′ i kachestvo = Proceedings of the International Symposium Reliability and Quality. 2024;1:104–111. (In Russ.)
Arquivos suplementares
