Xiaoxu Wu

University of Shanghai for Science and Technology, People's Liberation Army 401 Hospital

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About

Xiaoxu Wu is a researcher whose work bridges the critical intersection of robotics and neurorehabilitation. Dr. Wu’s key research areas include autonomous mobile robot path planning and the clinical application of robotic systems for post-stroke recovery. A major contribution is the development of an improved Ant Colony Optimization (ACO) algorithm that incorporates novel "rollback and death" strategies, significantly enhancing the efficiency of path planning for mobile robots in complex environments. This foundational work, published in 2018, has garnered 29 citations, demonstrating its influence in the field of autonomous navigation. More recently, Dr. Wu has made a substantial impact in medical robotics through a comprehensive systematic review and network meta-analysis (2024) evaluating the efficacy of robot-assisted training for upper limb motor function after stroke. This highly relevant study, with 14 citations, synthesizes data from five major English databases to compare different types of robotic training, providing crucial evidence for clinical rehabilitation practices. By advancing both the algorithmic foundations of robotic movement and the therapeutic applications of robotic systems, Dr. Wu’s work exemplifies a powerful synergy between engineering innovation and tangible healthcare outcomes.