Ki Je Sung
Papers
2
Total Citations
4
H-Index
2
About
Ki Je Sung is a robotics researcher whose work focuses on the intersection of humanoid locomotion and human-robot interaction. His key research areas include bipedal walking control, sensory feedback systems, and affective robotics—specifically how robots can convey emotion through movement. Sung’s major contributions center on developing more natural and expressive walking patterns for humanoid robots. In his 2015 paper on sensory reflex control, he proposed a Zero Moment Point (ZMP)-based walking controller that uses Force Sensing Resistor (FSR) sensors to enhance balance, particularly by limiting ankle joint angles during instability. This work, though early-stage with 2 citations, laid groundwork for more adaptive locomotion. His other notable 2015 study explored how modifying biped walking patterns can express emotions such as happiness or sadness, bridging technical control with social robotics. While his citation counts remain modest, Sung’s research is significant for its pioneering approach to making humanoid robots not just stable, but emotionally expressive—a step toward more intuitive human-robot collaboration. His work continues to influence researchers in both control theory and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1Sensory reflex control of a humanoid robot using FSR sensor2 citations · 2015
- 2