Minglin Xu

Papers

Total Citations

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About

Minglin Xu is a researcher in robotics and intelligent control, with a primary focus on mobile robot path planning and the integration of soft computing techniques. Their most cited work, "Application of Fuzzy Neural Network in Parameter Optimization of Mobile Robot Path Planning Using Potential Field" (2007, 9 citations), introduces a novel hybrid algorithm that combines artificial potential fields, fuzzy logic, and neural networks to enable real-time obstacle avoidance and path optimization. This contribution addresses key limitations of traditional path planning methods by dynamically tuning parameters, enhancing both efficiency and adaptability in complex environments. Though early in citation impact, Xu’s work represents a foundational step in merging fuzzy neural systems with robotics, offering a practical framework for autonomous navigation. Their research underscores a commitment to advancing intelligent systems through interdisciplinary approaches, making it a valuable reference for students and engineers exploring adaptive robotics.