Papers
7
Total Citations
363
H-Index
5
About
Sudong Lee is pioneering the next generation of soft robotics by merging sensing, actuation, and variable stiffness into intelligent, skin-like systems. His research focuses on creating multifunctional soft sensors and actuators that mimic biological mechanoreception, enabling robots to perceive and adapt to their environments with unprecedented dexterity. Lee’s most influential work, a 2020 paper on heterogeneous sensing in a soft sensor for human-robot interfaces, has garnered 221 citations, establishing a foundation for compact, multi-stimuli detection in robotic skin. He introduced the novel concept of “triboresistive touch sensing” (69 citations), which eliminates complex electrode grids for grid-free touch recognition, and developed a fiber-jamming soft bending actuator that achieves variable stiffness for enhanced adaptability (31 citations). His recent innovations include fiber-optic force sensing for modular robotic skin, enabling remote and autonomous control (20 citations), and inflatable sensing skins that improve legged robots’ maneuverability on challenging terrains (14 citations). By integrating proprioception, force sensing, and environmental adaptability, Lee’s work is advancing soft robotics toward safer, more capable human-robot collaboration and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7