Xiufang Li

Papers

Total Citations

H-Index

About

Xiufang Li is a researcher whose work bridges the fields of soft robotics and underwater computer vision. Her primary research areas include the development of novel actuation materials, particularly coiled polymer actuators, and the application of color models for object recognition in challenging aquatic environments. Li’s most significant contribution is her pioneering performance comparison of coiled actuators made from PA6 single fiber and yarn, a 2022 study that has garnered 13 citations. This work advances the understanding of how material structure influences actuator efficiency, with implications for creating more responsive and durable soft robotic systems. In earlier work, Li tackled the complexities of underwater object recognition, systematically evaluating illumination-invariant color models to improve robotic vision for competitions and real-world applications. Her 2014 papers on color model selection and comparison provide foundational insights for robotics engineers working in low-visibility, color-distorting environments. While her citation counts are modest, Li’s research demonstrates a focused, interdisciplinary approach—combining materials science with computer vision—to solve practical problems in robotics. Her contributions are particularly valuable for students and researchers exploring bio-inspired actuators or autonomous underwater systems.