Papers
22
Total Citations
262
H-Index
9
About
Sungmoon Jeong is a robotics researcher whose work spans human-robot interaction, social robotics, and neuro-robotics, with a particular focus on making robots more perceptive, adaptive, and culturally aware in human environments. His most influential contribution, "Learning Proxemics for Personalized Human–Robot Social Interaction" (2019, 61 citations), demonstrates his commitment to enabling robots to understand and respect the personal space preferences of individual users — a nuanced challenge at the intersection of psychology and machine learning. Jeong has also made significant strides in culturally competent robotics, exploring how robots can adapt emotional bodily expressions to suit diverse cultural contexts, as reflected in his widely cited 2018 work (32 citations) and related studies on encoding cultural norms into robot emotion representation. His earlier neuro-robotics research investigated how robots can developmentally learn to integrate visual attention with motor behaviors, including bimanual manipulation and language-action associations. More recently, his interests have extended to multi-robot systems and environmental monitoring through distributed Gaussian processes and resource-constrained active sensing. Across more than a decade of research, Jeong has consistently advanced the science of building robots that interact with humans in socially intelligent, emotionally resonant, and culturally sensitive ways.
Research Focus
Key Achievements
Top Papers
- 1Learning Proxemics for Personalized Human–Robot Social Interaction61 citations · 2019
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- 3Mobile robot navigation for human-robot social interaction21 citations · 2016
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- 6Encoding cultures in robot emotion representation12 citations · 2017
- 7Rapid coverage of regions of interest for environmental monitoring12 citations · 2019
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