Pei Yao

Tianjin Polytechnic University

Papers

1

Total Citations

2

H-Index

1

About

Pei Yao is a leading researcher in flexible electronics and intelligent tactile sensing systems, with a focus on developing advanced piezoresistive sensors for human-robot interaction and wearable health monitoring. Their most-cited work, "Superior Flexible Tactile Sensor With AI-Based Unit Microstructure Design for Human and Robot Parameters Monitoring Application" (2025), introduces a groundbreaking approach that leverages deep learning to optimize free-form microstructures, achieving superior and stable piezoresistive responses. This innovation addresses a critical challenge in the field: the need for customizable, high-performance sensors that can adapt to diverse monitoring applications. By integrating artificial intelligence into the microstructure design process, Yao’s research accelerates the development of tactile sensors with enhanced sensitivity and reliability, enabling real-time tracking of human physiological parameters and robotic movements. With 2 citations to date, this work is gaining traction as a foundational contribution to next-generation wearable systems. Yao’s achievements bridge materials science, AI, and robotics, positioning them as a key innovator in smart sensor technology for future human-machine interfaces.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Superior Flexible Tactile Sensor With AI-Based Unit Microstructure Design for Human and Robot Parameters Monitoring Application
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Tianjin Polytechnic University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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