Mayu Yokoya

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About

Mayu Yokoya is a researcher in rehabilitation robotics, whose work focuses on developing intelligent assistive devices to improve mobility and quality of life for the elderly. Her primary research areas include gait-phase-dependent control, robotic walkers for physical training, and functional resistance training. Yokoya’s major contribution is the design of a smart walker that adapts its assistance based on the user’s gait phase, promoting dynamic balance and reducing fall risk—a critical factor in aging populations. In her 2019 paper, she proposed a gait-phase-dependent control algorithm that enables the walker to provide targeted support during specific walking phases, earning 7 citations. Her 2022 pilot study extended this concept by integrating functional resistance training, targeting lower limb muscles like plantar flexors to improve propulsion force during walking, a key gap in traditional strength training. Although her citation counts are modest, Yokoya’s work is notable for its practical, user-centered approach to rehabilitation, bridging robotics and geriatric care. Her research holds promise for enhancing independence and safety in elderly mobility, making her a rising contributor to assistive technology.