Manhong Hur
Papers
7
Total Citations
84
H-Index
5
About
Manhong Hur is a pioneering researcher in human-robot interaction, specializing in the design and emotional expression of android heads. Their work focuses on creating lifelike facial expressions for robots, bridging the gap between mechanical engineering and human psychology. Hur’s major contributions include the development of the EveR-4 H33, a 33-degree-of-freedom android head system that mimics human facial muscle mechanisms. This system, detailed in their most-cited paper (25 citations), explores which emotions are most appropriate for robotic faces, addressing a fundamental challenge in social robotics. Hur’s research also examines how factors like gender and age influence the perception of robotic expressions, with studies showing up to 16 citations. By applying probabilistic models to generate natural facial movements, Hur has advanced the field of nonverbal communication in robots, making human-robot interactions more intuitive. Their work on the efficiency of experimental environments and cultural performance robots further demonstrates a commitment to practical applications. With a career spanning over a decade, Hur’s insights into emotional expression and mechanical design continue to shape the future of lifelike androids.
Research Focus
Key Achievements
Top Papers
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- 6Development of Robot Platform for Traditional Performance2 citations · 2013
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