Papers
10
Total Citations
112
H-Index
6
About
Dr. WonHyong Lee is a pioneering researcher at the intersection of human-robot interaction, assistive robotics, and soft robotics, with a particular focus on socially intelligent systems for healthcare and education. His most impactful work introduces an automated, personalized computational model to measure social engagement in children with Autism Spectrum Disorder (ASD)—a breakthrough that enables objective, quantitative assessment of a key behavioral indicator (28 citations). Dr. Lee has also made significant contributions to soft robotics, developing a compliant modular robotic hand with embedded fabric force sensors for versatile grasping (19 citations), and an origami-based elastomeric actuator controlled via machine learning and EMG signals (11 citations). His research extends to social robotics, where he has designed hierarchical emotional episodic memory architectures for human-robot collaboration (18 citations) and investigated robotic gaze-based social cueing to overcome in-attentional blindness (10 citations). Notably, his work on tele-assistive robotic nurses for medical environments (11 citations) addresses critical acceptability factors for human-robot collaboration in healthcare. Through these diverse contributions—spanning automated diagnostics, soft manipulation, and emotionally intelligent interaction—Dr. Lee’s research is shaping the future of robots that can sense, adapt to, and meaningfully engage with humans in real-world settings.
Research Focus
Key Achievements
Top Papers
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- 3Hierarchical emotional episodic memory for social human robot collaboration18 citations · 2017
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- 7Designing an Interactive Indoor Delivery Robot and Its Implications5 citations · 2022
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