Papers

3

Total Citations

88

H-Index

3

About

Xiaoyu Ye is a pioneering researcher at the intersection of neuromorphic engineering and human-robot interaction. Her work focuses on developing bio-inspired electronic devices that emulate human sensory and cognitive functions, as well as exploring the psychological dynamics of human-robot relationships. Ye’s most notable contribution is the development of a visible light-triggered artificial photonic nociceptor (2020, 19 citations), a device that mimics the human pain-sensing system with adaptive threshold tunability—a breakthrough for next-generation intelligent systems. In 2023, she advanced the field of neuromorphic perception with her work on electrolyte-gated transistors (44 citations), enabling devices that emulate complex human senses for robotics and IoT applications. Ye also bridges engineering with social psychology, testing disclosure-liking hypotheses in human-robot interaction (2023, 25 citations), revealing that reciprocal self-disclosure from robots can enhance human liking—insights critical for designing socially intelligent robots. Her interdisciplinary approach, combining hardware innovation with behavioral studies, positions her as a leading voice in creating machines that not only think but also connect.

Research Focus

Key Achievements

3
H-Index
3
Papers
88
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
Emerging electrolyte-gated transistors for neuromorphic perception
44 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Ningbo Institute of Industrial Technology, Shanghai Jiao Tong University, Chinese Academy of Sciences

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago