Muguang Wang
Papers
3
Total Citations
79
H-Index
3
About
Muguang Wang is a pioneering researcher at the intersection of fiber optics and artificial intelligence, specializing in fiber specklegram analysis for advanced tactile sensing and gesture recognition. His work has fundamentally transformed how optical fibers can serve as intelligent, bionic sensors. Wang’s most influential contribution is his 2020 paper, "Bending recognition based on the analysis of fiber specklegrams using deep learning," which has garnered 63 citations and established a new paradigm for using machine learning to interpret complex optical patterns. He further advanced this field with a 2022 study introducing a reflective optical tactile sensor capable of identifying contact positions, leveraging 3D-printed elastic materials and embedded single-mode and multimode fibers. Most recently, in 2025, Wang developed a groundbreaking system for automatic robotic hand gesture recognition, deploying convolutional neural networks on a Raspberry Pi to analyze specklegrams from five fiber structures acting as bionic neurons. With a total of 79 citations across his most-cited works, Wang’s research is driving the next generation of soft robotics, human-machine interfaces, and intelligent sensing systems, demonstrating how deep learning can unlock the full potential of optical fiber technology.
Research Focus
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Top Papers
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