Xingquan Zhu

Papers

Total Citations

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About

Xingquan Zhu is a robotics and control systems researcher whose work has made meaningful contributions to the field of autonomous mobile robot navigation and intelligent control. His research centers on the development of advanced control methodologies that address the inherent challenges of nonlinear, time-varying systems, particularly in the context of mobile robotics. Zhu is best known for pioneering the integration of predictive control with fuzzy logic to enable precise trajectory tracking in autonomous mobile robots — a technically demanding problem complicated by additive noise, time delays, and nonholonomic constraints that limit a robot's freedom of motion. His most cited work, "Predictive Fuzzy Logic Controller for Trajectory Tracking of a Mobile Robot" (2005, 30 citations), introduced an innovative hybrid control framework that mitigates the performance degradation typically caused by computational time delays. A closely related follow-up study published in 2006 further extended this approach, accumulating 27 citations and reinforcing the robustness of his methodology across constrained robotic platforms. Together, these contributions represent a coherent research program that bridges classical predictive control theory with soft computing techniques. Zhu's work remains valuable to students and engineers seeking practical, noise-resilient solutions for real-world autonomous robot control.