About

Xiaopeng Yan is an emerging researcher at the forefront of soft robotics, wearable sensing, and intelligent human-machine interaction. His work centers on the development of advanced optical fiber-based tactile sensors and stretchable photonic materials, with a particular focus on enabling dexterous robotic systems to perceive and interpret physical stimuli with human-like precision. His most cited work, "Soft and Stretchable Optical Fibers with Gradient Color Coding for Multipoint Bending and Tactile Perception in Dexterous Hands" (2025, 8 citations), demonstrates innovative bio-inspired design strategies for next-generation humanoid robotics. Complementing this, his research on super-stretchable polymer optical fibers (2024, 4 citations) addresses critical manufacturing challenges that have historically limited the real-world deployment of flexible sensing technologies in health monitoring and robotic applications. Beyond robotics, Yan has extended his expertise into digital health, contributing to the automation of traditional Chinese rehabilitation practices through intelligent signal processing, as evidenced by his SNIF-DFA work for smart Gua Sha devices (2022, 4 citations). Though early in his career, Yan's interdisciplinary contributions signal a promising trajectory bridging materials science, robotics, and medical technology.

Research Focus

Key Achievements

3
H-Index
3
Papers
16
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Soft and Stretchable Optical Fibers with Gradient Color Coding for Multipoint Bending and Tactile Perception in Dexterous Hands
8 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 25
🏛 Institutions: Ministry of Education of the People's Republic of China, Jilin University, Beijing University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago