Qinqin Han

Papers

Total Citations

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About

Qinqin Han is a researcher whose work sits at the intersection of robotics, intelligent control systems, and library automation. Her most-cited paper, "Research on Robot Tracking of Books Returning to Bookshelf Based on Particle Swarm Optimization Fuzzy PID Control" (2020), addresses a critical challenge in autonomous library systems: improving the efficiency and precision of book-returning robots. By integrating particle swarm optimization with fuzzy PID control, Han developed a navigation system that significantly reduces tracking time and path deviation during bookshelf searches. This contribution, which has garnered 4 citations, demonstrates her ability to apply advanced computational methods to real-world robotic applications. Her research is particularly notable for its practical focus on enhancing the performance of service robots in constrained environments. Han's work represents a meaningful step forward in making library automation more reliable and efficient, offering valuable insights for researchers in robotics, control engineering, and intelligent systems. Her approach to combining optimization algorithms with adaptive control continues to inspire further exploration in autonomous navigation and task-specific robot design.