Daisuke Katoh

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About

Daisuke Katoh is a leading researcher in neurorehabilitation and robotic gait training, with a focus on restoring walking function after stroke. His major contributions center on the development and clinical application of the Gait Exercise Assist Robot (GEAR), a wearable robotic device designed to support paretic limb swing and stance stability while minimizing compensatory movements. In his seminal 2019 cross-sectional pilot study (18 citations), Katoh demonstrated that GEAR significantly improves gait patterns in stroke patients by enabling early, high-repetition practice of near-normal walking with minimal assistance. His 2017 work on motor learning (7 citations) further established the theoretical framework for using GEAR, emphasizing the importance of high-feedback, precisely adjustable robotic assistance to promote neuroplasticity and efficient motor learning. Katoh’s research bridges engineering and clinical practice, providing evidence-based guidelines for parameter tuning and feedback selection in robot-assisted therapy. His work has been instrumental in advancing rehabilitation robotics, offering stroke survivors a more effective path to recovery through technology-driven, personalized gait training.