Jeonghun Baek

Tokyo University of Agriculture and Technology

Papers

Total Citations

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About

Jeonghun Baek’s research centers on human-robot interaction, with a particular focus on developing socially intelligent robots capable of understanding and responding to individual human preferences. His major contributions lie in designing action selection systems that enable robots to behave considerately, using emotion estimation to tailor interactions to each user’s unique emotional state and needs. This work is foundational for building long-term, stable relationships between humans and robots, moving beyond simple task execution to empathetic, context-aware behavior. Although his most-cited papers, such as “A situation-aware action selection based on individual’s preference using emotion estimation” (2014, 5 citations) and “Considerate Behavior of Robots Based on Individual’s Preference” (2015, 3 citations), have modest citation counts, they represent early, pioneering steps in affective robotics and personalized human-robot collaboration. Baek’s research is particularly relevant for students and researchers interested in social robotics, affective computing, and the ethical design of autonomous systems that prioritize user comfort and trust.