Sergey Mikhailovich Sergeev
Papers
4
Total Citations
72
H-Index
3
About
Sergey Mikhailovich Sergeev is a prominent researcher specializing in industrial automation, robotics, and the application of Industry 4.0 principles to smart warehouse and manufacturing systems. His work sits at the intersection of cyber-physical systems, automated storage and retrieval, and human-machine interaction, making him a notable contributor to the rapidly evolving field of intelligent industrial engineering. Sergeev's most influential contribution, "Automation Engineering of Adaptive Industrial Warehouse" (2019), has garnered 36 citations and explores how sensor-equipped, robot-driven warehouses can be integrated into modern cyber-physical environments. His closely related work on automated storage and retrieval systems for Industry 4.0 (2019, 24 citations) advances mathematical modeling of flexible digital subsystem interactions, offering practical frameworks for next-generation manufacturing. His 2020 paper on digital twins of warehouse robots further extends this vision, examining how virtual replication of physical systems can enhance operational efficiency in mechanical engineering production. Beyond automation, Sergeev has also addressed the human side of intelligent systems, investigating how interface complexity in robotic and ergatic environments can be reduced to better align with human cognitive limitations. Collectively, his research provides both theoretical foundations and applied solutions that support the global transition toward smarter, more adaptive industrial ecosystems.
Research Focus
Key Achievements
Top Papers
- 1Automation engineering of adaptive industrial warehouse36 citations · 2019
- 2Automated storage and retrieval system for Industry 4.0 concept24 citations · 2019
- 3The digital twin of a warehouse robot for Industry 4.010 citations · 2020
- 4Complexity reduction of interfaces of robotic and ergatic systems2 citations · 2019