Yali Wu

Taiyuan University of Technology

Papers

4

Total Citations

142

H-Index

4

About

Yali Wu is a leading researcher in soft robotics and flexible electronics, with a focus on developing advanced sensors and materials for human–machine interfaces and electronic skins. Her work centers on creating stretchable, capacitive strain sensors that overcome a critical limitation in the field: the inability to distinguish in-plane strain from normal stress. Wu’s most-cited paper, “Liquid Metal Interdigitated Capacitive Strain Sensor with Normal Stress Insensitivity” (2021, 62 citations), introduces a novel design that selectively measures strain without interference from pressure, a breakthrough for precise motion tracking in soft robotics. She further advanced stress sensing with a flytrap-inspired pillar structure in liquid metal elastomers (46 citations) and developed a passive particle jamming variable stiffness material for capacitive stress sensors (24 citations), achieving both high sensitivity and a large measurement limit. Wu also explores multifunctional robotic surfaces, designing superhydrophobic coatings that are self-cleaning, high-grip, and bacterial-repelling (10 citations). Her innovative contributions are shaping the next generation of soft, intelligent systems for healthcare, wearable technology, and autonomous robotics.

Research Focus

Key Achievements

4
H-Index
4
Papers
142
Total Citations
36
Avg Citations/Paper
🏆 Most Cited Paper
Liquid Metal Interdigitated Capacitive Strain Sensor with Normal Stress Insensitivity
62 citations · 2021
📈 Most Prolific Year: 2021 (4 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Taiyuan University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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