Papers
14
Total Citations
136
H-Index
6
About
Ju-Hwan Seo is a pioneering robotics researcher whose work bridges the critical gap between human-robot interaction and precision surgical systems. His research spans three transformative areas: multimodal emotion recognition for social robots, hysteresis compensation for flexible surgical robots, and autonomous robot motion generation. Seo's most impactful contribution is his decision-level fusion method for emotion recognition (2018, 30 citations), which solved the longstanding challenge of integrating multiple sensory modalities to improve social robots' ability to understand human emotions in real-world settings. In surgical robotics, his learning-based hybrid joint angle estimation approach (2020, 30 citations) represents a breakthrough in overcoming hysteresis—the nonlinear friction and backlash that plagues tendon-sheath mechanisms in flexible endoscopy robots. Seo has also made notable contributions to entertainment robotics, developing an autonomous dance generation system that synchronizes robot movements with real-time music input (2013, 25 citations). His work on Laban Movement Analysis for robot gesture motion and automated speech-gesture generation systems demonstrates a unique ability to translate human movement principles into robotic applications. With over 125 total citations across his publications, Seo's research continues to shape how robots perceive emotions, perform delicate surgeries, and interact naturally with humans.
Research Focus
Key Achievements
Top Papers
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- 6Application of effort parameter to robot gesture motion6 citations · 2012
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- 10Learning similarity metric for comparing RGB-D image patches by CNN4 citations · 2017