Conceptual foundations for simulating the physical and chemical properties in robotic systems design

K.Ch. Bzhikhatlov, I.A. Pshenokova

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Abstract. This article addresses the problem of developing a comprehensive system for simulating physical and chemical properties in the design of robotic systems.
Aim. To develop a modular, multimodal physical and chemical property modeling system integrated into an intelligent collaborative platform for designing and prototyping robotic devices, featuring configurable simulation accuracy and computational complexity.
Methods. The research utilizes multi-agent systems and simulation modeling as its primary methodological framework. A concept of neurocognitive architecture-based intelligent software agents is proposed for modeling physical and chemical properties.
Results. The paper presents an integrated approach to robotic systems design based on human-machine teaming. A system architecture has been developed, which includes three main module groups for property modeling, behavior, and visualization. Particular attention is paid to developing the physical and chemical process modeling subsystem, implemented as a server-based architecture with cross-modality data sharing capabilities. To exchange information between individual subroutines, “messaging nodes” are introduced, representing separate open communication channels capable of connecting a multi-agent architecture editor, a user, and a database management system.
Conclusion. The practical significance of this work is the development of a versatile tool for the comprehensive simulation of physical, chemical, and information processes in robotic systems design. Utilizing a modular, multimodal system for physical, chemical, and informational workflows ensures comprehensive model fidelity and CAD flexibility, allowing users to balance accuracy against computational complexity. Intelligent prediction of physical and chemical properties simplifies robotic design by removing the requirement to manually define every physical process involved in the system’s operation.

Keywords: multi-agent systems, artificial intelligence, CAD, robotics, modeling of physical processes, digital design

For citation. Bzhikhatlov K.Ch., Pshenokova I.A. Conceptual foundations for simulating the physical and chemical properties in robotic systems design. News of the Kabardino-Balkarian Scientific Center of RAS. 2026. Vol. 28. No. 3. Pp. 11–22. DOI: 10.35330/1991-6639-2026-28-3-11-22

©  Bzhikhatlov K.Ch., Pshenokova I.A., 2026

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Information about the authors

Kantemir Ch. Bzhikhatlov, Candidate of Physical and Mathematical Sciences, Director of the Institute of Computer Science and Problems of Regional Management – branch of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
37-a, I. Armand street, Nalchik, 360000, Russia;
haosit13@mail.ru, ORCID: https://orcid.org/0000-0003-0924-0193, SPIN-code: 9551-5494
Inna A. Pshenokova, Candidate of Physical and Mathematical Sciences, Head of the Department Multi-Agent Systems, Institute of Computer Science and Problems of Regional Management – branch of Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences;
37-a, I. Armand street, Nalchik, 360000, Russia;
pshenokova_inna@mail.ru, ORCID: https://orcid.org/0000-0003-3394-7682, SPIN-code: 3535-2963

Funding

The study was performed without external funding.