Yiting Wu

University of British Columbia

Papers

1

Total Citations

28

H-Index

1

About

Yiting Wu is a leading researcher in soft robotics and human-machine interaction, best known for pioneering work in tactile sensing and soft sensor design. Their most-cited paper, "Touch, press and stroke: a soft capacitive sensor skin" (2023, 28 citations), introduces a novel capacitive sensor capable of discriminating shear and normal forces—a critical capability for enabling machines to interact safely and effectively with humans. By combining patterned elastomers with fixed and sliding pillars, Wu’s design achieves a level of tactile discrimination that mimics human skin, advancing the field of soft haptics. This work has already garnered attention for its potential applications in prosthetics, collaborative robotics, and wearable devices. Wu’s broader research focuses on developing flexible, skin-like sensors that can sense pressure, stretch, and touch, bridging the gap between soft materials and intelligent control systems. Their contributions are shaping the future of physically interactive machines, making them a rising figure in soft robotics and sensor engineering.

Research Focus

Key Achievements

1
H-Index
1
Papers
28
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
Touch, press and stroke: a soft capacitive sensor skin
28 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: University of British Columbia

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago