Yihong Zhang

Papers

Total Citations

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About

Yihong Zhang is a researcher working at the intersection of robotics, human-computer interaction, and affective computing, with a particular focus on enabling more natural and expressive communication between humans and machines. Their most notable work explores the classification and reproduction of facial expressions in humanoid robots, addressing one of the fundamental challenges in social robotics: enabling machines to authentically convey emotions. In their 2019 paper, Zhang developed a geometrical feature-based framework that extracts and generalizes facial expression characteristics, providing a systematic method for both recognizing and reproducing human-like expressions on robotic platforms. This contribution is significant as it bridges the gap between human emotional communication and robotic expressiveness, a capability increasingly vital as humanoid robots are deployed in caregiving, education, and service industries. While still in the early stages of accumulating citations, Zhang's work lays important groundwork for future advances in emotionally intelligent robotics. As human-robot interaction continues to grow as a discipline, contributions like Zhang's that tackle the nuanced challenge of nonverbal emotional expression will become ever more foundational to the field.