Shengqi Yan

Papers

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About

Shengqi Yan is a robotics researcher whose work focuses on intelligent control systems for mobile robots, with particular emphasis on trajectory tracking and motion control. His most influential contribution, the 2014 paper "Fuzzy PID Based Trajectory Tracking Control of Mobile Robot and its Simulation in Simulink," has garnered 44 citations and addresses a fundamental challenge in robotics: achieving precise, adaptive control for autonomous navigation. Yan's key innovation lies in combining traditional PID control with fuzzy logic to create a hybrid controller that dynamically adjusts parameters in real-time, significantly improving a mobile robot's ability to follow complex paths under varying conditions. By establishing the robot's motion model through mechanism analysis and then integrating fuzzy logic to handle system uncertainties, his work bridges classical control theory with modern intelligent approaches. This research has practical implications for autonomous vehicles, warehouse robots, and service robotics, where reliable trajectory tracking is essential. Yan's contributions demonstrate how fusing established control methods with adaptive algorithms can yield robust solutions for real-world robotic applications, making his work a valuable reference for students and researchers exploring intelligent motion control systems.