Yongseok Lee
Papers
2
Total Citations
22
H-Index
2
About
Yongseok Lee is a pioneering researcher at the intersection of smart materials and robotic manipulation, with key contributions in shape memory polymers and non-prehensile manipulation. His most-cited work (19 citations) introduces shape memory polymer surfaces with controllable nanotip roughness, enabling multiscale switchable dry adhesion—a breakthrough with transformative potential for robotic grippers, medical adhesives, and microassembly. This innovation leverages material phase transitions to dynamically tune surface adhesion, offering unprecedented control for delicate object handling. In parallel, Lee addresses fundamental challenges in robotic pushing (3 citations), developing an online model estimation framework that achieves highly accurate object manipulation despite uncertain physical properties like friction and mass distribution. His work bridges materials science and robotics, creating adaptive systems that respond intelligently to their environment. Lee’s research is particularly notable for its practical impact: the shape memory adhesion technology could revolutionize industrial automation and surgical tools, while his pushing framework enhances robot autonomy in unstructured settings. By combining fundamental material insights with real-world robotic applications, Lee demonstrates how smart materials can enable next-generation manipulation systems that are both precise and adaptable.
Research Focus
Key Achievements
Top Papers
- 1
- 2