Papers

11

Total Citations

351

H-Index

6

About

Keng Huat Koh is a leading researcher in robotics and smart textiles, with a focus on wearable sensors, wall-climbing robots, and maintenance automation. His most impactful work includes the development of an ultraflexible polyurethane yarn-based wearable strain sensor with a polydimethylsiloxane infiltrated multilayer sheath for smart textiles, which has garnered 122 citations. This innovation enables highly sensitive, waterproof, and stretchable sensors for biomedical and wearable applications. Koh has also made significant contributions to wall-climbing robotics through his pioneering research on electrostatic adhesion mechanisms, with key papers on modeling, simulation, and experimental investigation of electroadhesion actuators (79 and 45 citations). His work on teleoperated robotic systems for surface rust removal and protective coating of high-rise gas pipes (34 citations) demonstrates practical applications in infrastructure maintenance. More recently, Koh has advanced remote assembly and rehabilitation robotics for gas pipes and underground pipe lining (9 and 6 citations), as well as integrated hydraulic-driven wearable robots for knee assistance (3 citations). His research bridges fundamental adhesion science with real-world robotic solutions, impacting smart textiles, industrial maintenance, and assistive technology.

Research Focus

Key Achievements

6
H-Index
11
Papers
351
Total Citations
32
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: 2014 (2 Papers)
🤝 Key Collaborators: 29
🏛 Institutions: City University of Hong Kong, Monash University Malaysia, Sunway University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago