Kuan‐Ming Li
Papers
1
Total Citations
6
H-Index
1
About
Kuan-Ming Li is a pioneering researcher in rehabilitation robotics and human–machine interaction, with a focus on intelligent exoskeleton systems. His work centers on developing sensor-driven control strategies to enhance assistive devices for human mobility. Li’s major contribution lies in the integration of tactile sensing and fuzzy logic control for gait phase classification, as demonstrated in his highly cited 2022 paper on the lower limb robotic exoskeleton (LLRE-II). By designing a novel piezoresistive tactile sensor (PRTS) to measure foot pressure in real time, he enabled more accurate and adaptive exoskeleton responses during human walking. This work, with 6 citations, has laid critical groundwork for improving the safety and efficacy of wearable robotic systems. Li’s achievements include advancing practical sensor technologies that bridge the gap between laboratory prototypes and real-world rehabilitation applications. His research continues to influence the development of intuitive, responsive exoskeletons, making him a key figure in the quest to restore mobility for individuals with gait impairments.
Research Focus
Key Achievements
Top Papers
- 1