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About

Qiuhao Zhang is a pioneering researcher in rehabilitation robotics, with a focused expertise in developing intelligent assistive devices for individuals with mobility impairments. His primary research areas encompass lower limb rehabilitation robotics, gait analysis, and human-robot interaction for elderly care. Zhang’s most significant contribution is the design and implementation of an omnidirectional lower limbs rehabilitation training robot, detailed in his most-cited paper (2007, 10 citations), which introduced a novel system to improve locomotion in patients recovering from neurological injuries. He further advanced this field by proposing an obstacle-avoidance control algorithm based on fuzzy control (2009, 4 citations), enabling safer autonomous navigation for rehabilitation robots. His work on a smart walking stick robot (2018, 3 citations) addresses the global aging challenge by developing an intuitive assistive device that adapts to elderly walking habits. Additionally, Zhang developed an ultrasonic gait detection and analysis method (2012, 2 citations) integrated into rehabilitation robots, providing precise gait symmetry indices for clinical assessment. His cumulative research has laid foundational groundwork for intelligent, adaptive rehabilitation systems, directly impacting patient recovery outcomes and elderly mobility assistance.