Papers

8

Total Citations

80

H-Index

4

About

Mikhail P. Romanov is a robotics researcher whose work spans modular reconfigurable robots, autonomous navigation, and distributed computing systems for intelligent machines. His research addresses some of the most computationally demanding challenges in modern robotics, particularly the development of control architectures that balance efficiency, fault tolerance, and cost-effectiveness in complex robotic systems. Romanov's most influential contribution, "Modular Reconfigurable Robot Distributed Computing System for Tracking Multiple Objects" (2020, 30 citations), tackles the significant computational burden of real-time multi-object tracking aboard resource-constrained modular platforms. His 2017 architectural framework for modular reconfigurable robot control systems (16 citations) established a hybrid centralized-decentralized paradigm that has informed subsequent designs in the field. Complementing this, his navigation system for intelligent mobile robots (2019, 16 citations) demonstrated practical advances in indoor group robot coordination and positional accuracy. More recently, Romanov has expanded into quadrupedal robotics, exploring accessible platforms like the Unitree Go1 for mission-based navigation, reflecting a broader interest in democratizing advanced robotic capabilities. Across his career, his cumulative citation impact demonstrates growing recognition within the robotics community, making his work a valuable reference for researchers working at the intersection of robot control, autonomy, and distributed systems.

Research Focus

Key Achievements

4
H-Index
8
Papers
80
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Modular Reconfigurable Robot Distributed Computing System for Tracking Multiple Objects
30 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: MIREA - Russian Technological University, Lomonosov Moscow State University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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