A method for assessing the compliance of indicators and characteristics of ground-based robotic systems for military purposes by modeling combat tasks

A method for assessing the compliance of indicators and characteristics of ground-based robotic systems for military purposes by modeling combat tasks

Nurzhan E. Rakimzhanov
PhD in Technical Sciences, Professor of the Academy of Military Sciences, Doctoral Student of the Department (combat tracked, wheeled vehicles and military vehicles), Military Academy of Logistics named after General A.V. Khrulev, Branch, Lieutenant Colonel, 14, Military Camp, Cheryomushki, Omsk, 644098, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it.

Received November 18, 2024

Abstract
The article describes the use of a virtual polygon based on artificial intelligence to determine the assessment of compliance of indicators and characteristics of ground-based robotic complexes for military purposes (NRTC VN) with specified tasks. The necessity of creating robotic tools with an increased degree of autonomy, with a further desire for full autonomy of the robotic complex, is noted. Based on the analysis of modern robotic complexes, the main direction of research on improving efficiency and increased autonomy is formulated. The novelty of the publication lies in a reasonable application of modern technologies for evaluating indicators and characteristics with elements of artificial intelligence to determine the technical appearance of the high-class NRTC. The practical significance lies in reducing time and financial costs during the development and testing of the NRTC VN, before creating a prototype, as well as in the possibility of using the proposed approach in planning the integrated application of the NRTC VN and training during operations (combat operations).

Key words
Military ground-based robotic complex, unmanned aerial vehicle, artificial intelligence, virtual training ground, programming language, three-dimensional models.

EDN
ANXWEE

Bibliographic description
Rakimzhanov, N.E. (2024), "A method for assessing the compliance of indicators and characteristics of ground-based robotic systems for military purposes by modeling combat tasks", Robotics and Technical Cybernetics, vol. 13, no. 1, pp. 26-32, EDN: ANXWEE. (in Russian).

UDC identifier
004.43:004.946:004.8:623:007.52

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