Papers
2
Total Citations
19
H-Index
2
About
Zhijun Yan is a leading researcher in advanced fiber-optic sensing technologies, with a primary focus on optical frequency domain reflectometry (OFDR) and tactile sensor systems for robotics. His major contributions include developing adaptive local feature extraction methods for strain measurement in special fiber OFDR systems, which significantly enhance spatial resolution and sensitivity for applications in biomedical treatment and soft robotics. Yan's work on the "Fibertouch" tactile sensor represents a breakthrough in dexterous robotic hands, integrating deep learning demodulation to achieve precise tactile feedback. His most cited paper on OFDR-based strain measurement has garnered 16 citations, reflecting its impact on short-distance, high-resolution sensing. Yan's innovative approach combines optical engineering with machine learning, pushing the boundaries of fiber-optic sensors for real-world applications. His research is particularly notable for addressing the challenge of weak Rayleigh scattering signals in OFDR, enabling more reliable and accurate measurements. As a researcher, Yan's work bridges the gap between fundamental photonics and practical robotic systems, making him a key figure in the evolution of smart sensing technologies for next-generation automation and medical devices.
Research Focus
Key Achievements
Top Papers
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