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About

Shangming Wei is a robotics and control systems researcher whose work sits at the intersection of mobile robotics, hybrid systems, and optimal control. His research has made significant contributions to the stabilization and navigation of wheeled mobile robots (WMRs), particularly in challenging real-world conditions such as wheel slippage — a problem with direct implications for autonomous vehicle reliability and safety. Wei's most cited work, "Hybrid Model Predictive Control for the Stabilization of Wheeled Mobile Robots Subject to Wheel Slippage" (2013, 49 citations), addresses the traction control problem by modeling WMRs as hybrid systems and applying model predictive control strategies that avoid the combinatorial complexity typically associated with such formulations. A complementary 2007 paper on the same theme (17 citations) established earlier foundations for this approach. Beyond stabilization, Wei has contributed to UAV path planning through hybrid optimal control frameworks that elegantly transform combinatorial logical constraints into tractable problems (2008, 21 citations). His 2005 work on smooth, sensor-based path planning (18 citations) further demonstrates his commitment to practically implementable algorithms that guarantee global convergence. Collectively, Wei's research has shaped modern approaches to autonomous robot navigation and control under real-world constraints.