Vasily Mokhov

Platov South-Russian State Polytechnic University

Papers

Total Citations

H-Index

About

Vasily Mokhov is a researcher specializing in mechatronic systems, robotics, and optimal process planning. His work focuses on integrating diagnostics and trajectory optimization to enhance the reliability and efficiency of automated systems. Mokhov’s most cited paper, “Optimal technological process planning approach based on the state of mechatronic systems” (2019), introduces a novel framework for planning technological processes that accounts for the wear of mechatronic components, including electric motors. Using a mobile robot with a differential drive as a case study, he demonstrates how real-time state monitoring can inform adaptive trajectory planning, thereby extending system lifespan and reducing downtime. Although his citation count is currently modest, his contribution is significant for its practical approach to predictive maintenance and operational optimization in robotics. Mokhov’s work bridges the gap between theoretical control systems and applied mechatronics, offering valuable insights for engineers developing autonomous and industrial robots. His research is particularly relevant for students and professionals interested in intelligent manufacturing, condition-based maintenance, and the integration of diagnostics into real-time control systems.