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About

A. Yu. Ivoilov is a researcher specializing in the control systems and power optimization of two-wheeled balancing robots—dynamically unstable devices modeled as inverted pendulums. His work addresses two critical challenges in this field: achieving stable automatic stabilization and minimizing on-board battery consumption. Ivoilov’s most-cited paper (2018, 6 citations) introduces a numerical optimization method for tuning regulator coefficients, offering a practical alternative to analytical root-distribution approaches. A second influential study (2018, 5 citations) focuses on reducing power consumption through process analysis, directly tackling the energy constraints of battery-powered robots. His earlier work (2017, 4 citations) explores the application of MEMS sensors in stabilization systems, while a later paper (2019, 2 citations) advances parametric synthesis of control systems using numerical optimization. Though his citation counts are modest, Ivoilov’s contributions are foundational for the practical deployment of balancing robots, bridging theoretical control design with real-world energy efficiency. His systematic approach to regulator tuning and power management provides a valuable framework for students and engineers developing autonomous two-wheeled platforms.