Sergey Gataullin

Moscow Technical University of Communication and Informatics, Financial University

Papers

Total Citations

H-Index

About

Sergey Gataullin is a leading researcher at the intersection of robotics, applied mathematics, and industrial cybersecurity. His work focuses on the dynamic modeling and control of manipulation robots, where he has made significant contributions to understanding and correcting deviations caused by elastic deformations and mechanical gaps. His 2021 paper on a "Mathematics Model for 6-DOF Joints Manipulation Robots" (20 citations) introduced a universal dynamic model using the Lagrange–Euler method to address these critical precision issues. Building on this foundation, Gataullin developed a parallel computational algorithm for object-oriented modeling of manipulation robots (11 citations), enabling more efficient real-time control. In applied robotics, he designed a novel robotic complex for harvesting apple crops (12 citations), integrating an industrial robot with a vacuum gripper and packaging system. Most recently, Gataullin has pioneered the application of machine learning methods for industrial robotic systems security (23 citations), addressing emerging vulnerabilities in automated manufacturing. His work uniquely bridges theoretical mechanics, computational efficiency, and practical agricultural and security applications, making him a versatile and impactful figure in modern robotics engineering.