Xiaoyun Xie

Jiangxi University of Science and Technology

Papers

Total Citations

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About

Xiaoyun Xie is a leading researcher in robotics and intelligent control systems, with a primary focus on the optimization of automated guided vehicles (AGVs) and autonomous navigation technologies. Her most cited work, "Simulation and Validation of Optimized PID Controller in AGV Model Using PSO and BAS Algorithms" (2022, 53 citations), introduces a novel hybrid optimization approach that significantly enhances AGV trajectory tracking and stability. By integrating Particle Swarm Optimization (PSO) with the Beetle Antennae Search (BAS) algorithm, Xie developed a more efficient PID controller that reduces energy consumption and improves real-time response in dynamic industrial environments. This contribution has direct implications for logistics, healthcare, and manufacturing automation, where AGVs are increasingly deployed for tasks ranging from material transport to hospital assistance. Xie’s research bridges theoretical control engineering with practical application, offering scalable solutions for next-generation autonomous systems. Her work is widely cited by engineers and researchers seeking robust, low-cost control strategies for mobile robots, cementing her reputation as a key innovator in intelligent robotics and industrial automation.