Ekaterina Fedorova

Papers

Total Citations

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About

Ekaterina Fedorova is a robotics and control systems researcher whose work centers on intelligent stabilization and motion control for autonomous mobile platforms. Her most-cited contribution, the 2019 paper on a "Fuzzy-PID Controller for Two Wheels Balancing Robot Based on STM32 Microcontroller," has garnered 17 citations and demonstrates her expertise in hybrid control strategies. Fedorova’s key innovation lies in fusing fuzzy logic with traditional PID controllers to address the inherently unstable dynamics of two-wheeled balancing robots. By designing a fuzzy controller that dynamically tunes PID parameters for both balancing and distance regulation, she created a robust, adaptive system capable of handling nonlinearities and external disturbances more effectively than conventional controllers. This work has practical implications for self-balancing vehicles, personal transporters, and educational robotics platforms. Fedorova’s research bridges theoretical control theory with embedded system implementation, showcasing how low-cost microcontrollers like the STM32 can execute sophisticated algorithms. Her approach offers a replicable framework for engineers seeking to enhance stability and responsiveness in agile robotic systems, making her a notable contributor to the fields of mechatronics and intelligent control.