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About

Tatiana Zudilova is a robotics researcher whose work centers on the mathematical modeling and dynamic control of robotic manipulators. Her primary research areas include multi-degree-of-freedom (DOF) robot kinematics, vibration protection, and nonlinear model transformation for improved performance. Her most-cited work, "Mathematical Modeling of the Dynamics of 3-DOF Robot-Manipulator with Software Control" (2020, 18 citations), presents a foundational method for constructing dynamic equations of multi-link robots using matrix methods and Lagrange equations. This work provides a generalizable framework for studying robotic arm motion under software control. Zudilova also addresses practical challenges in industrial robotics, such as protecting robotic arms from external base vibrations, as explored in her 2020 paper (4 citations). Her 2019 study on a five-DOF automated robotic system (3 citations) further extends her modeling approach to more complex kinematic chains. Notably, her 2021 paper (2 citations) introduces a transformation method for nonlinear manipulator models, aiming to enhance the performance of low-cost robots with programmed control. Through her systematic application of matrix-based dynamic modeling, Zudilova contributes to the development of more robust and efficient robotic systems for production and management applications.