Huang Yangyang
Papers
2
Total Citations
24
H-Index
2
About
Huang Yangyang is a rising researcher in the field of optical fiber sensing, with a primary focus on high-accuracy shape reconstruction using Fiber Bragg Grating (FBG) technology. Their work addresses critical challenges in three-dimensional shape sensing, particularly for applications in medical devices and robotics. Huang’s most notable contribution is the development of a high-accuracy 3D shape sensor based on anti-twist packaged high-uniform multicore fiber FBGs, which has already garnered 22 citations since its 2023 publication. This work represents a significant advancement in overcoming the limitations of traditional shape sensing methods, such as twist-induced errors. Additionally, Huang has explored the integration of neural networks—specifically radial basis functions—to enhance shape reconstruction accuracy, as detailed in their 2023 paper on the subject. By combining novel packaging techniques with machine learning approaches, Huang is pushing the boundaries of what is possible in real-time, precise shape monitoring. Their research is particularly impactful for minimally invasive surgical tools and flexible robotic manipulators, where accurate spatial awareness is critical. With a growing citation record and a focus on solving practical engineering problems, Huang Yangyang is establishing themselves as an innovator in the field of smart optical fiber sensors.
Research Focus
Key Achievements
Top Papers
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- 2