Sergey Redyuk

Papers

Total Citations

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About

Sergey Redyuk is a researcher at the forefront of affective human-robot interaction, with a particular focus on tactile communication and social touch. His work explores how touch can serve as a channel for emotional expression between humans and robots, an area with profound implications for assistive robotics and social AI. In his notable 2017 study, "Tactile Interaction and Social Touch," Redyuk demonstrated that touch type is a reliable indicator of communicated emotion, using a soft matrix array sensor to capture tactile exchanges. By applying six machine learning methods to classify these interactions, he laid groundwork for robots that can interpret human affect through physical contact. Though still early in his career, with his most-cited paper garnering 3 citations, Redyuk’s contributions are foundational in a niche that bridges haptics, machine learning, and psychology. His work is particularly relevant for researchers developing empathetic robotic companions and systems for elderly care or therapy, where non-verbal, touch-based communication is essential. As the field of social robotics grows, Redyuk’s focus on tactile sensing positions him as a key voice in making human-robot interaction more intuitive and emotionally resonant.