Sergei S. Mikhalevich

National Research Tomsk State University

Papers

Total Citations

H-Index

About

Sergei S. Mikhalevich is a researcher focused on advancing industrial robotics and automation, with particular expertise in anomaly detection and educational robotics. His most cited work, "Automated anomalies detection in the work of industrial robots" (2021, 5 citations), addresses a critical gap in modern manufacturing: while robotic systems and their software evolve rapidly, tracking and management technologies lag behind. Mikhalevich’s development of an automated anomaly detection algorithm directly tackles this challenge, offering a practical solution to improve reliability and safety in industrial settings. In his earlier work, "Developing of KUKA youBot software for education process" (2017, 3 citations), he tackled the pressing need for skilled personnel in the growing robotics industry, particularly in food processing. By creating educational software for the KUKA youBot platform, Mikhalevich helped bridge the gap between industrial demand and workforce training. Though his citation counts are modest, his contributions are highly targeted—improving real-world robot monitoring and preparing the next generation of engineers. Mikhalevich’s work stands at the intersection of practical automation and education, making him a valuable voice in the ongoing evolution of industrial robotics.