N. Belova

Kharkiv National University of Radio Electronics

Papers

Total Citations

H-Index

About

N. Belova is a robotics researcher specializing in human-robot interaction, speech recognition, and locomotion systems. Her work focuses on bridging the gap between voice control and industrial automation, as well as advancing walking robot design. Belova’s most influential paper, "Speech Recognition Systems: A Comparative Review" (2017, 38 citations), provides a critical analysis of open-source and closed-source speech recognition tools for robot control, establishing a foundational resource for researchers in voice-controlled robotics. Her follow-up study, "Voice Control for an Industrial Robot as a Combination of Various Robotic Assembly Process Models" (2017, 21 citations), demonstrates how logical models, semantic networks, frame models, and Petri nets can be integrated to enable robust voice commands for industrial robots—a key contribution to manufacturing automation. More recently, Belova’s "Modern Walking Robots: A Brief Overview" (2021, 11 citations) offers a concise yet comprehensive survey of bipedal, quadrupedal, hexapedal, and octopod designs, highlighting the inefficiency of eight-limbed structures. With over 70 total citations, Belova’s work is a valuable reference for students and engineers exploring speech-driven robot control and legged locomotion.