This article examines the features, challenges, and potential solutions associated with the integration of robotic systems into existing infrastructure. The relevance of this topic is driven by the widespread implementation of robotics across various sectors, including industry, logistics, agriculture, and other fields. The objective of this study is to systematize existing approaches and perspectives on integration processes, analyze key contradictions in scientific literature, and identify underexplored aspects that hinder the effective deployment of these technologies.

Discrepancies in the literature are linked to the lack of standardization in system architectures, limited real-world validation of control algorithms, and insufficient attention to legal considerations. It is concluded that successful integration requires a systematic approach encompassing standardization, the development of advanced control algorithms, adaptation of cloud technologies, and the mandatory consideration of social factors.

The author's contribution lies in structuring modern trends in integration strategies, including the shift towards modularity, scalability, active use of artificial intelligence, standardization, cloud-based solutions, and hybrid interaction systems. Additionally, research gaps are identified. The presented findings will be valuable for developers of robotic solutions, automation researchers, and enterprise managers planning the implementation of robotic systems.

Control algorithms, system architecture, integration

Dawarka V. Building and evaluating cloud robotic systems: a systematic review / V. Dawarka, G. Bekaroo // Robotics and Computer-Integrated Manufacturing. – 2022. – Vol. 73.

Gómez J. Data-driven identification and control based on optic tracking feedback for robotic systems / J. Gómez, Ch. Treesatayapun, A. Morales // The International Journal of Advanced Manufacturing Technology. – 2021. – Vol. 113. – No. 5. – Pp. 1485-1503.

Kota S.K. An evaluation of flying robotic systems using software controlled flight plans in its embedded systems / S.K. Kota, Sh.S. Thakur // Technoarete Transactions on Industrial Robotics and Automation Systems. – 2022. – Vol. 2. – No. 4.

Marschall M. Defining the number of mobile robotic systems needed for reconfiguration of modular manufacturing systems via simulation / M. Marschall, M. Gregor, L. Ďurica, V. Vavrík, T. Bielik, P. Grznár, S. Mozol // Machines. – 2022. – Vol. 10. – No. 5. – P. 316.

Polyakov R.Yu. Application of portable flying robotic systems for early detection of an ignition source / R.Yu. Polyakov // Periodico Tche Quimica. – 2020. – Vol. 17. – No. 36. – Pp. 1082-1098.

Sharma R. Robotics System Integration Market Outlook / R. Sharma // URL: https://dataintelo.com/report/robotics-system-integration-market (date of request: 01/28/2025).

Siefke L. Robotic systems of systems based on a decentralized service-oriented architecture / L. Siefke, V. Sommer, B. Wudka, C. Thomas // Robotics. – 2020. – Vol. 9. – No. 4. – Pp. 1-10.

Tavares P. Optimal automatic path planner and design for high redundancy robotic systems / P. Tavares, D. Marques, P. Malaca, G. Veiga, P. Costa, A.P. Moreira // Industrial Robot. – 2020. – Vol. 47. – No. 1. – Pp. 131-139.

Vinogradov G.P. Patterns in intelligent control systems for robotic systems / G.P. Vinogradov // Studies in Systems, Decision and Control. – 2021. – Vol. 352. – Pp. 15-28.

Yu Zh. Global composite learning fixed-time control of robotic systems with asymmetric tracking error constraints / Zh. Yu, K. Pang, Ch. Hua // IEEE Transactions on Industrial Electronics. – 2023. – Vol. 70. – No. 7. – Pp. 7082-7091.