Min Xie

City University of Hong Kong, Beijing University of Posts and Telecommunications, Multichannel (China)

Papers

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About

Dr. Min Xie’s research lies at the intersection of robotics, intelligent control, and supply chain resilience. A central contribution is the development of advanced control strategies for autonomous systems, notably through iterative learning control for two-wheeled mobile robots. This work, which has garnered 7 citations, addresses the critical challenge of maintaining precise tracking in the presence of model uncertainties and unknown periodic disturbances—a key step toward more reliable field robotics. Dr. Xie also made an early impact in path planning by improving the classic A* algorithm for unknown environments. By introducing a variable tracking the number of times a node is visited, this 2010 work (3 citations) enabled real-time, adaptive navigation without requiring a pre-mapped world, a significant advance for autonomous exploration. More recently, Dr. Xie has expanded into global supply chain management, authoring a comprehensive literature review (2025) that synthesizes the destabilizing effects of geopolitical conflicts, trade wars, and natural disasters, and outlines pathways toward greater system resilience. This breadth—from low-level robot control to high-level logistics strategy—demonstrates a versatile and forward-looking research agenda.