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About

Zikang Zhou is a leading researcher in rehabilitation robotics, with a focus on developing intelligent, adaptive systems for lower-limb assistance and recovery. His work spans key areas including individualized gait generation, exoskeleton control, and biomechanical efficiency analysis. Zhou’s most impactful contribution is his 2020 paper on "Individualized Gait Generation for Rehabilitation Robots Based on Recurrent Neural Networks," which has garnered 36 citations. This work introduced a novel method for creating customized reference gait patterns at continuously varying speeds, overcoming the limitations of previous fixed-speed approaches and significantly enhancing rehabilitation outcomes. He further advanced the field with his 2022 study on controlling flexible knee joint exoskeletons using dynamic models, addressing critical ground clearance issues for post-stroke survivors. Zhou’s research on ankle-assisted robots for load-carriage walking, published in 2021, demonstrated practical applications in improving mechanical efficiency during human locomotion. His innovative center of mass perception approach for stroke rehabilitation highlights his commitment to developing intuitive, patient-centered technologies. With a growing citation impact, Zhou is establishing himself as a key innovator in wearable robotics and neurorehabilitation.