Russian Journal of Resources, Conservation and Recycling
           

2025, Vol. 12, No. s4. - go to content...

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DOI: 10.15862/04FAOR425 (https://doi.org/10.15862/04FAOR425)

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Qi W. Use of robots in logistics warehousing. Russian journal of resources, conservation and recycling. 2025; 12(s4). Available at: https://resources.today/PDF/04FAOR425.pdf (in Russian). DOI: 10.15862/04FAOR425


Use of robots in logistics warehousing

Qi Wang
Financial University under the Government of the Russian Federation, Moscow, Russia
E-mail: qiwang7979@gmail.com

Academic adviser: Kapustina Nadezhda Valeryevna
Financial University under the Government of the Russian Federation, Moscow, Russia
E-mail: nvkapustina@fa.ru

Abstract. The dynamic development of digital technologies in the modern economy is driving the transformation of traditional logistics processes, with robotic automation of warehouse operations acting as a catalyst for improving the operational efficiency of supply chains. This study provides a comprehensive analysis of the implementation of robotic solutions in the Russian logistics warehousing system, identifies relevant technological innovations and existing barriers to automation, and develops practice-oriented recommendations for accelerating the industry’s digital transformation. The results of the analysis demonstrate a steady positive trend in the Russian warehouse robotics market, with annual growth rates of 18–20 percent. The main growth drivers are autonomous mobile robots capable of autonomous route planning, automated high-density storage and retrieval systems, and swarm-based intelligent solutions that enable the cooperative interaction of multiple devices. However, the study also identifies critical limitations hindering the large-scale adoption of robotic technologies. Key barriers include the technical unpreparedness of much of the existing warehouse infrastructure due to insufficient ceiling height and a lack of unified integration standards; a severe shortage of qualified specialists capable of setting up and maintaining complex automated equipment; high initial capital investment with a long payback period; and dependence on imported components amid limited import supplies. The developed set of practical recommendations covers key areas for overcoming the identified challenges. The proposed measures include adapting warehouse infrastructure through the implementation of modular, flexible solutions, developing a system for training specialized personnel through cooperation between educational institutions and robotics companies, stimulating domestic production of critical components through government support mechanisms, and optimizing the financial conditions for implementing automated systems through leasing and preferential lending programs.

Keywords: logistics warehousing; robotics; warehouse automation; technological components; digital transformation; Russian logistics solutions

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ISSN 2500-0659 (Online)