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May 12, 2026
‘Any Real-Economy Company Can Use Our Products
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Связь уровня роботизации и производительности труда: важен ли масштаб бизнеса?

Journal of New Economy. 2023. Т. 24. № 1. С. 81–103.
Староватова Д. А.

Scholarly literature on the economic consequences of robotisation at the microeconomic level often does not take into account the pronounced digital gap between small and medium-sized businesses and large ones. In this regard, theoretical and real estimates may differ for companies of different sizes. The article studies the relationship between robotisation and labour productivity in the Russian industry in the context of size groups of companies. Methodologically, the study relies on the theory of the firm and economic theories explaining the essence of labour productivity and methods for evaluating it. The research analyses the data about 725 Russian industrial enterprises for 2017 using the methods of regression modeling. The data was obtained in the course of the fundamental research programme at the HSE University. According to the results, only small and medium-sized enterprises have a significant and reliable relationship between the introduction of robots and labour productivity. Probably due to the complexity of business processes, large businesses need deeper and more elaborate robotisation to gain labour productivity benefits. The calculations also demonstrate a negative relationship between exports and labour productivity in large companies, which contradicts the ‘classical’ ideas about the impact of export activities on the efficiency indicators. This may indicate that the high labour productivity of a considerable part of large Russian enterprises proceeds from their monopoly position in domestic markets, while formally less productive companies, which do not occupy dominant positions, appear to be competitive and motivated enough to enter foreign markets. The findings can be useful for the leadership of enterprises, especially that of SMEs, for the managerial decision-making in terms of increasing productivity, in particular, through robotisation of production.

Research target: Economics and Management
Language: Russian
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Keywords: производительность трудаавтоматизацияцифровой разрывautomationробототехникафакторы ростаroboticsLabour productivitydigital gapgrowth driversrobotisation of productionроботизация производства
Publication based on the results of:
Масштабы, особенности и эффекты роботизации в России и за рубежом (2022)
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Multi-Criteria Approach to Path Planning for Unmanned Tractors Considering Energy Constraints and Soil Compaction
Faizullin R., Imamov N., Tsoy T. et al., , in: 10th International Conference, ICR 2025, Hanoi, Vietnam, November 10–13, 2025, Proceedings, Part II. Interactive Collaborative Robotics. (LNCS, volume 16304).: Springer, 2026. P. 385–398.
Autonomous agricultural vehicles operating under the Controlled Traffic Farming (CTF) paradigm face complex routing challenges when minimizing soil compaction, total mission time, and station placement under battery constraints. This paper introduces Multi-Objective Coordinated Autonomous Routing and Placement with Fixed Lanes (MO-CARP-FL), a novel multi-objective evolutionary algorithm designed to optimize the coordinated routing of homogeneous autonomous ...
Added: March 17, 2026
U-Net-based waterline segmentation for flood disaster response
Myzina A., Safin R., Tsoy T. et al., , in: Proceedings Volume 14073, Fifth International Conference on Artificial Intelligence, Automation, and Algorithms (AI2A 2025).: [б.и.], 2026.
Floods are among the most destructive natural disasters, causing human casualties and severe economic damage. Effective monitoring of flooded areas requires automated systems capable of real-time perception and decision-making. This paper proposes a water surface segmentation model based on the U-Net architecture, trained entirely on synthetic data generated in the Gazebo simulator with variations in ...
Added: March 17, 2026
Agricultural Field Coverage with a Group of Mobile Robots Considering a Soil Compaction Risk and Energy Efficiency
Faizullin R., Imamov N., Tsoy T. et al., , in: Proceedings of the Fifth International Conference on Agriculture Digitalization and Organic Production (ADOP 2025), Volume 1. Robotics in Agriculture. (SIST, volume 453).: Springer, 2026. P. 25 – 34.
This article considers a dual problem of optimizing field coverage while minimizing a soil compaction and managing energy constraints of agricultural robots. The soil compaction in precision agriculture is a major challenge, as mobile robots are becoming increasingly common in field operations. A proposed optimization combines a soil compaction risk assessment with energy-efficient trajectory planning ...
Added: March 17, 2026
Holistic Digital Human Models in Gazebo: A Case Study on Agricultural Workflows
Gamberov T., Safin R., Tsoy T. et al., , in: Proceedings of the Fifth International Conference on Agriculture Digitalization and Organic Production (ADOP 2025), Volume 1. Robotics in Agriculture. (SIST, volume 453).: Springer, 2026. P. 175–187.
The agricultural sector is undergoing a digital transformation due to modern automation, robotics, sensing, and simulation technologies. This research explores a use of digital human models (DHMs) in the Gazebo virtual environment to enhance agricultural workflows, improve human-robot interaction, and ensure safety. We propose a framework that models typical agricultural scenarios, such as field mapping, ...
Added: March 17, 2026
A Graphical User Interface for Controlling a Group of Service Mobile Robots
Gataullin R., Abbyasov B., Zhukova V. et al., , in: 6th International Conference, CIT&DS 2025, Volgograd, Russia, September 22–25, 2025, Proceedings. Creativity in Intelligent Technologies and Data Science. (CCIS, volume 2803).: Cham: Springer, 2025. P. 477 – 491.
Mobile robots are increasingly used to automate repetitive and labor-intensive tasks in environments such as hospitals, warehouses, offices, and manufacturing facilities. When working together, multiple robots can achieve greater efficiency by sharing workloads and coordinating complex tasks, which enables faster completion of large-scale operations. Managing such teams of robots, however, requires an intuitive system for ...
Added: March 17, 2026
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