Ekaterina Rostova
ITMO University, St. Petersburg Institute for Informatics and Automation
Papers
6
Total Citations
18
H-Index
2
About
Ekaterina Rostova is a researcher specializing in the control systems of robot manipulators, with a focus on biotechnical and semi-automatic motion control. Her work bridges structural analysis, simulation, and neural network compensation to enhance the precision and adaptability of robotic systems. Her most cited paper, "Structural Analysis and Animated Simulation of Biotechnical Position-Velocity Control System of a Robot-Manipulator" (2018, 8 citations), establishes her foundational contributions to modeling and simulating multidimensional control systems. She has further advanced the field through the synthesis of position-force control algorithms with reconfigurable structures, as detailed in her 2019 paper (2 citations), and by developing computer models for studying semi-automatic control. Rostova’s exploration of neural network compensation to mitigate dynamic errors in position control (2020, 2 citations) demonstrates her commitment to integrating intelligent systems into robotics. Her analysis of positional semi-automatic control with tool orientation (2021, 2 citations) underscores her ongoing impact. With a cumulative citation count reflecting growing recognition, Rostova’s work is pivotal for students and researchers interested in the intersection of control theory, simulation, and neural networks in robotics.
Research Focus
Key Achievements
Top Papers
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