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About

Dr. Kai Xue is a leading researcher in the field of mobile robotics, with a primary focus on the modeling, optimization, and control of wheeled mobile robots (WMRs) operating in complex, rough terrains. His work is foundational in the emerging area of terrain-vehicle mechanics for autonomous systems, which is critical for both terrestrial and planetary exploration missions. Dr. Xue’s major contributions include the development of novel analytical models for predicting robot mobility performance, particularly concerning traction and slippage. He pioneered the application of multi-objective optimization (MOO) techniques to simultaneously optimize these competing performance metrics, a key advancement for designing robust autonomous robots. His influential 2013 paper on modeling and multiobjective optimization of traction performance has garnered 13 citations, while his earlier 2010 work on applying the Harmony Search algorithm to a reconfigurable mobile robot prototype has been cited 17 times. Notably, Dr. Xue also introduced a unique reconfigurable mobile robot design featuring a fifth steerable propulsive wheel, a concept detailed in his 2009 paper. Through these contributions, Dr. Xue has significantly advanced the theoretical and practical understanding of how autonomous wheeled robots can navigate and perform effectively in challenging, unstructured environments.