Mikhail Vladimirovich Vartanov
Papers
6
Total Citations
22
H-Index
3
About
Mikhail Vladimirovich Vartanov is a robotics and automation researcher whose work centers on the precise science of robotic assembly, particularly the mating of cylindrical components such as shaft-sleeve joints. His research tackles some of the most persistent practical challenges in industrial automation, including parts jamming, friction variability, and positional misalignment during assembly operations. Vartanov's most cited contribution, "Determination of Changing Friction Coefficient Using Force Torque Sensor During Robotic Assembly of Cylindrical Connection with Clearance" (2020, 6 citations), established analytical methods for characterizing how friction evolves dynamically throughout the coupling process — a finding with direct implications for real-time adaptive control. His complementary work on identifying shaft and hole positions using force-torque sensing (2022, 4 citations) addresses the critical pre-assembly alignment problem that can lead to costly deformation or seizure. Across multiple studies, Vartanov has investigated how part rotation and low-frequency vibration can be strategically exploited to improve assembly reliability, while his 2024 work on intelligent control algorithms reflects his evolution toward AI-driven solutions for non-rigid parts. Though his citation counts remain modest, his focused body of work represents meaningful foundational progress in sensor-guided, adaptive robotic assembly systems relevant to modern smart manufacturing.
Research Focus
Key Achievements
Top Papers
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