About

Hyosang Lee is a pioneering robotics researcher whose work sits at the intersection of soft robotics, tactile sensing, and human-robot interaction. His most significant contributions center on developing large-scale, biomimetic robotic skin using electrical resistance and impedance tomography (ERT/EIT) — technologies that estimate pressure distribution across flexible surfaces using only sparse electrode arrays, dramatically simplifying the engineering of whole-body tactile sensing systems. Lee's most celebrated work, "A biomimetic elastomeric robot skin using electrical impedance and acoustic tomography" (2022, 251 citations), demonstrated how robots could perceive touch across their entire body in ways reminiscent of human skin — a landmark achievement in safe human-robot interaction. His research consistently tackles the inverse problem of reconstructing force maps from voltage measurements, deploying deep neural networks and sim-to-real transfer learning to achieve practical, real-time performance. Beyond technical innovation, Lee has applied his expertise meaningfully in social robotics, designing haptic-enabled robot companions for children with autism, translating cutting-edge sensing technology into therapeutic tools. With over 500 cumulative citations across his top publications, Lee has established himself as a leading voice in soft tactile sensor design, machine learning-based signal reconstruction, and assistive robotics — work whose influence spans engineering, clinical care, and human-centered AI.

Research Focus

Key Achievements

14
H-Index
21
Papers
623
Total Citations
30
Avg Citations/Paper
🏆 Most Cited Paper
A biomimetic elastomeric robot skin using electrical impedance and acoustic tomography for tactile sensing
251 citations · 2022
📈 Most Prolific Year: 2019 (4 Papers)
🤝 Key Collaborators: 34
🏛 Institutions: University of Stuttgart, Max Planck Institute for Intelligent Systems, Korea Advanced Institute of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago