Papers
7
Total Citations
28
H-Index
4
About
Hyunsoo Song is a pioneering researcher in human-robot interaction (HRI), with a focus on designing robots that can express emotions and engage in intuitive, non-verbal communication. His work centers on the development of robotic heads and platforms capable of dynamic emotional expression, such as the EEEX (Exaggerating Emotion Expresser) robot head, which uses specialized parts like arm-type antennae and exaggerated features to convey a wide range of feelings. Song’s key contributions include the design of idle motions for service robots, enabling them to exhibit natural behaviors even in standby states, and the creation of a system that modifies robot expressions based on sentence types, emotions, and personality traits. His research on touch-based interaction with egg-shaped robots and mobile platforms with spring-loaded casters has advanced the field of physical HRI, making robots more approachable and effective in service roles. With over 30 citations across his most-cited papers, Song’s work has laid the groundwork for more expressive and socially adept robots, bridging the gap between mechanical design and emotional intelligence.
Research Focus
Key Achievements
Top Papers
- 1Design of a robot head for emotional expression: EEEX6 citations · 2008
- 2Design of idle motions for service robot via video ethnography5 citations · 2009
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- 4Design of a robot head with arm-type antennae for emotional expression5 citations · 2007
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