Viktoriia Bortnikova

Kharkiv National University of Radio Electronics

Papers

Total Citations

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About

Viktoriia Bortnikova is a researcher specializing in soft robotics and intelligent control systems, with a focus on bio-inspired mechanisms and sensor integration. Her work bridges mechanical design and machine learning, particularly in the development of soft robotic manipulators and autonomous locomotion platforms. In her highly cited 2019 study, she systematically analyzed how structural parameters—such as chamber wall thickness and inter-chamber gaps—influence the bending angle of soft robotic fingers, providing foundational insights for optimizing actuator performance in compliant grippers. Her 2018 research on MEMS accelerometers for hexapod control demonstrated a novel approach to real-time state classification using machine learning, integrating three-axis inertial sensing with intelligent algorithms to enhance autonomous walking robot stability. Though early in her career, Bortnikova’s contributions have already garnered over a dozen citations, reflecting growing interest in her practical, data-driven methodologies. Her work is particularly notable for combining simulation-based parametric studies with experimental validation, offering a replicable framework for advancing soft robotics and adaptive control systems.