Zhaoya Chen

Shenzhen University

Papers

1

Total Citations

2

H-Index

1

About

Dr. Zhaoya Chen is pioneering the next generation of intelligent electronic skins (E-skins) for advanced robotics. Their research centers on scalable, stretchable triboelectric sensors and AI-integrated perception systems, with a focus on enabling human-like dexterity in robotic hands. Chen’s most cited work, "An AI‐Powered, All‐Printed, Scalable, Stretchable Triboelectric E‐Skin for Multifunctional Perception in Dexterous Hand" (2026), introduces a breakthrough platform that overcomes the limitations of single-modality sensing by combining triboelectric nanogenerators with machine learning. This all-printed, scalable design allows for cost-effective production while maintaining high sensitivity and stretchability—critical for real-world robotic manipulation. Although early in its citation trajectory, this work has already garnered attention for its potential to revolutionize prosthetics and human-robot interaction. By addressing the scalability and multifunctionality challenges that have long hindered E-skin adoption, Chen is laying the groundwork for truly dexterous, perceptive robotic hands. Their contributions promise to bridge the gap between soft electronics and intelligent control, marking them as a rising leader in the field of wearable and robotic sensing.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
An AI‐Powered, All‐Printed, Scalable, Stretchable Triboelectric E‐Skin for Multifunctional Perception in Dexterous Hand
2 citations · 2026
📈 Most Prolific Year: 2026 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Shenzhen University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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