Vasily Shcherbakov
Papers
2
Total Citations
6
H-Index
1
About
Vasily Shcherbakov is a researcher focused on the control and automation of robotic manipulators, with a particular emphasis on enhancing stability and performance under challenging real-world conditions. His work centers on the application of advanced control theory to industrial robotics, addressing critical issues in trajectory tracking and system stability. In his most cited paper, "Synthesis of Adaptive Control of Robotic Manipulator by the Method of Lyapunov Functions" (2018), Shcherbakov developed a control algorithm that ensures the stability of a robotic manipulator's movement across the entire phase space, while also investigating system dissipativity. This foundational work has garnered 5 citations, establishing his contribution to robust control design. He further advanced the field with "Robot Manipulator Control Using Predictive Model under Conditions of Incomplete Information" (2020), where he tackled the practical challenge of controlling processing robots when sensor data is limited or noisy. By proposing a digital control solution for movement along a programmed trajectory, Shcherbakov directly addresses the needs of modern, digitized manufacturing environments. His research bridges theoretical control methods with practical industrial applications, offering valuable insights for engineers and researchers working to improve the precision and reliability of robotic systems in automation.
Research Focus
Key Achievements
Top Papers
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- 2