Papers

4

Total Citations

322

H-Index

4

About

Hyung-Kew Lee is a pioneering researcher in the field of flexible sensing systems, with a particular focus on capacitive proximity sensing, tactile feedback, and human-robot interaction. His work has substantially advanced the development of intelligent sensor platforms that bridge the gap between robotic systems and safe, intuitive human collaboration. Lee's most influential contribution — a dual-mode capacitive proximity sensor published in 2009 and now amassed over 200 citations — demonstrated that both tactile and proximity sensing capabilities could be elegantly integrated onto a single flexible polymer platform, a breakthrough with profound implications for robotics design. This foundational work was preceded by an earlier 2006 prototype, confirming Lee's long-standing commitment to pushing the boundaries of multi-functional sensing architectures. Beyond robotics, Lee has made meaningful contributions to surgical technology. His 2014 study investigating combined tactile and kinesthetic feedback in minimally invasive surgery highlighted how nuanced haptic information can meaningfully improve surgical precision and safety. His 2017 work on compliant ultrasonic proximity sensors further demonstrated his dedication to ensuring robots can operate safely alongside humans. Collectively, Lee's research reflects a cohesive vision: creating smarter, safer interfaces between humans and machines across medical and industrial applications.

Research Focus

Key Achievements

4
H-Index
4
Papers
322
Total Citations
81
Avg Citations/Paper
🏆 Most Cited Paper
Dual-Mode Capacitive Proximity Sensor for Robot Application: Implementation of Tactile and Proximity Sensing Capability on a Single Polymer Platform Using Shared Electrodes
203 citations · 2009
📈 Most Prolific Year: 2009 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Michigan–Ann Arbor, Samsung (South Korea), University of Minnesota

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago