Xiulan Li
Papers
1
Total Citations
3
H-Index
1
About
Dr. Xiulan Li is a researcher at the forefront of human-robot collaboration, with a primary focus on motion data processing and intelligent manufacturing systems. Her work addresses critical challenges in enabling seamless human-machine interaction, particularly through advanced filtering techniques for human motion capture. Dr. Li's most cited paper, "Research on Human Motion Data Filtering Based on Unscented Kalman Filter Algorithm" (2021), has garnered 3 citations and introduces a sophisticated approach to denoising motion data, directly supporting the growing demand for robotic systems that can safely and effectively work alongside humans in industrial settings. This research is especially timely given China's rapid shift from manual production to automated manufacturing. By improving the accuracy and reliability of human motion tracking, Dr. Li's contributions help lay the groundwork for more responsive and adaptive collaborative robots. Her work represents a vital step toward realizing the full potential of human-machine collaborative manufacturing, where robots can intuitively interpret and respond to human movements in real-time.
Research Focus
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Top Papers
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