Yunbiao Zhao

Peking University

Papers

6

Total Citations

63

H-Index

4

About

Yunbiao Zhao is an emerging researcher at the intersection of flexible electronics, wearable sensing, and intelligent robotics. His work centers on developing advanced sensory systems that bridge human biology and machine intelligence, with particular focus on iontronic pressure sensors, bioinspired tactile interfaces, and multimodal wearable devices. Zhao's most impactful contribution to date is his hierarchical synergetic strategy for iontronic pressure sensors, which simultaneously achieves high sensitivity and a broad linear sensing range — a long-standing challenge in the field — garnering 24 citations since its 2025 publication. His bioinspired ionic skin work, combining triboelectric and iontronic dual-response mechanisms for dexterous robotic manipulation, has attracted 15 citations, demonstrating his ability to translate biological principles into functional robotics applications. A recurring theme in Zhao's research is synergistic, co-located sensing: his wearable device for simultaneous neural and mechanical muscle signal detection addresses critical needs in medical robotics and assistive exoskeletons, earning 13 citations. He further extends this vision through machine-learning-enhanced dual-mode muscular monitoring systems. More recently, Zhao has explored AI-driven automation in carbon nanotube synthesis, signaling a broadening interest in nanomaterial fabrication. Collectively, his work reflects a coherent ambition to build smarter, more human-attuned robotic and healthcare technologies.

Research Focus

Key Achievements

4
H-Index
6
Papers
63
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Hierarchical Synergetic Strategy for Iontronic Pressure Sensors with High Sensitivity and Broad Linearity Range
24 citations · 2025
📈 Most Prolific Year: 2024 (3 Papers)
🤝 Key Collaborators: 37
🏛 Institutions: Peking University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago