Jingya Yu

Papers

Total Citations

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About

Jingya Yu’s research lies at the intersection of robotics, intelligent control systems, and library automation, with a particular focus on optimizing autonomous navigation for book-returning robots. Her most cited work, “Research on Robot Tracking of Books Returning to Bookshelf Based on Particle Swarm Optimization Fuzzy PID Control,” addresses a critical challenge in library robotics: reducing tracking time and path deviation during shelf-searching tasks. By integrating particle swarm optimization with fuzzy PID control, Yu’s system enhances the precision and efficiency of robotic navigation, offering a practical solution for smart library management. Although her citation count is modest—with 4 citations for this key paper—her contribution is notable for its applied innovation in combining evolutionary algorithms with classical control theory. Yu’s work demonstrates a clear understanding of real-world constraints in automated environments, and her approach provides a foundation for future research in adaptive robotics. For students and researchers exploring intelligent control or service robotics, Yu’s study offers a concise, impactful example of how optimization techniques can improve robotic performance in structured, task-specific settings.