Papers

28

Total Citations

468

H-Index

11

About

King Wai Chiu Lai is a multidisciplinary researcher whose work spans nanorobotics, flexible electronics, and human-machine interaction, with transformative contributions bridging microscale engineering and real-world applications. His early career focused on precision nanomanipulation, culminating in pioneering AFM-based nanorobotic systems capable of cellular-level surgery on living specimens — work that demonstrated remarkable control at biological scales and earned sustained recognition across the robotics and biomedical communities. His 2009 automated nanomanufacturing system for carbon nanotube devices (38 citations) exemplified his ability to translate nanoscale science into reproducible, scalable processes. Lai's research evolved toward wearable sensing technologies, producing his most-cited work: a 2020 polyurethane yarn-based strain sensor with a PDMS-infiltrated multilayer sheath (122 citations), which set new benchmarks for flexibility, sensitivity, and waterproofing in smart textile applications. More recently, his liquid-metal multichannel strain sensor, combined with machine learning for sign language classification (25 citations), reflects his forward-looking integration of materials innovation with intelligent systems. His 2022 work on EMG-based dynamic grip force estimation (38 citations) further demonstrates his commitment to accessible, intuitive human-machine interfaces. Across more than two decades, Lai has consistently pushed the boundaries of what sensors, robots, and nanoscale tools can achieve in healthcare and beyond.

Research Focus

Key Achievements

11
H-Index
28
Papers
468
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
An ultraflexible polyurethane yarn-based wearable strain sensor with a polydimethylsiloxane infiltrated multilayer sheath for smart textiles
122 citations · 2020
📈 Most Prolific Year: 2022 (4 Papers)
🤝 Key Collaborators: 48
🏛 Institutions: City University of Hong Kong, Michigan State University, Chinese University of Hong Kong

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago