Y.P. Nikitin
Papers
17
Total Citations
258
H-Index
9
About
Y.P. Nikitin is a leading researcher in robotics, automation, and intelligent control systems, with a focus on enhancing the reliability, efficiency, and diagnostic capabilities of industrial and mobile robots. His work spans key areas including robotic grasping, drive diagnostics, inertial navigation, and collision avoidance. Nikitin’s major contributions include developing a logical-linguistic AI model for diagnosing electric drives with sensor support—a method that uses fuzzy inference to identify technical faults—and advancing deep learning-based robotic grasping systems that overcome uncertainties in hand-object interactions. He has also pioneered the integration of inertial navigation units into mobile robot control, improving reliability through reverse validation and dynamic sensor analysis. His most cited paper, “Analysis of Diagnostic Methods and Energy of Production Systems Drives” (2021), has garnered 43 citations, reflecting its economic importance in automated systems. Other notable works include an optimally-tuned PID control for transport robot actuators and a method for searching collisions between mobile robots and their environment. With over 230 total citations across his top ten papers, Nikitin’s research is foundational for creating smarter, more dependable robotic systems in manufacturing and logistics.
Research Focus
Key Achievements
Top Papers
- 1Analysis of Diagnostic Methods and Energy of Production Systems Drives43 citations · 2021
- 2Advanced Robotic Grasping System Using Deep Learning39 citations · 2014
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- 6Increasing the Production System Productivity Using Inertial Navigation17 citations · 2015
- 7Searching for collisions between mobile robot and environment16 citations · 2016
- 8The Issue of Calculating Elliptic Trajectories12 citations · 2014
- 9AUTOMATIC WAREHOUSES WITH TRANSPORT ROBOTS OF INCREASED RELIABILITY9 citations · 2018
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