Dmitry Konyshev

Bauman Moscow State Technical University

Papers

Total Citations

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About

Dmitry Konyshev is a researcher in human-robot interaction, specializing in speech communication and emotion recognition systems. His work focuses on enabling more natural and intuitive interfaces between humans and robots, particularly through the development of systems that can recognize and reproduce human facial expressions and emotional states. His most-cited paper, "Mimic Recognition and Reproduction in Bilateral Human-Robot Speech Communication" (2016, 8 citations), explores how robots can mirror human expressions during dialogue, enhancing the realism and responsiveness of social robots. In a related study, "Emotion Recognition System for Human-Robot Interface: Comparison of Two Approaches" (2017, 4 citations), Konyshev evaluates different methods for detecting user emotions, contributing to the design of more empathetic robotic assistants. Though his citation counts are modest, his work addresses foundational challenges in affective computing and human-robot communication, laying groundwork for future systems that can perceive and respond to human emotional cues. His research is particularly relevant for students and engineers developing socially assistive robots or interactive AI systems that require nuanced, bidirectional emotional engagement.