Nikolay Nikolaev
Papers
4
Total Citations
32
H-Index
4
About
Nikolay Nikolaev is a control systems and robotics researcher whose work bridges robust control theory with practical educational platforms. His primary research areas include adaptive and robust tracking control for mobile robots, odometry-based navigation, and the development of reconfigurable robotic testbeds for control education. Nikolaev’s most cited work introduces a “consecutive compensator” approach for controlling plants with unknown relative degree and dynamic uncertainties—a significant contribution to simple, robust adaptive control. With 11 citations, this paper demonstrates his impact on handling parametric and structural uncertainties in mobile robot systems. Beyond theory, Nikolaev has made notable contributions to educational robotics. He developed a 2-DOF Stewart platform for studying control theory and computer vision, and a robotic boat setup designed for hands-on student validation of control methods. These platforms support active learning in courses like “Control Methods for Robotic Applications.” His work on odometry modeling and navigation, published in 2017, has been integrated into an Erasmus+ MOOC on IoT, extending his reach to a global student audience. Nikolaev’s combination of theoretical rigor and practical, open-access educational tools makes his research particularly valuable for students and researchers seeking to apply control theory in real-world robotic systems.
Research Focus
Key Achievements
Top Papers
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- 3Application of the Stewart platform for studying in control theory7 citations · 2017
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