M. Yu. Luneva

South-West State University, Southwest Minnesota State University

Papers

Total Citations

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About

M. Yu. Luneva’s research centers on the intersection of robotics, control systems, and digital signal processing, with a particular focus on enhancing the precision and reliability of robotic manipulators. Her major contribution lies in the development and experimental validation of fuzzy digital filters designed to mitigate signal noise and contact jitter—common issues that degrade positioning accuracy in robotic arms. In her most-cited work, “Fuzzy Digital Filter for Robotic Manipulator Operation” (2019, 5 citations), Luneva details the construction and operation of the ARMino robotic manipulator, integrating an Arduino Mega, servos, and potentiometers, and demonstrates how fuzzy logic can smooth control signals. Her follow-up studies, “Fuzzy Digital Filter Device Study for the Robot Manipulator” (2020, 4 citations) and “Fuzzy Digital Filter Algorithm” (2018, 2 citations), further refine these algorithms, offering simpler yet effective alternatives to complex digital filtering methods. While her citation counts are modest, Luneva’s work is notable for its hands-on, experimental approach—bridging theoretical fuzzy logic with practical, low-cost hardware implementation. Her research provides a valuable foundation for students and engineers seeking accessible solutions to real-world robotic control challenges, emphasizing robustness and simplicity in filter design.