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About

Tetsuya Ohno is a leading researcher in the field of rehabilitation robotics, with a primary focus on restoring motor function in the upper limbs of hemiplegic patients. His work directly addresses a critical challenge in physical therapy: the heavy reliance on a therapist’s subjective experience. Ohno’s major contribution is the development of the D-SEMUL and SEMUL rehabilitation systems, which leverage passive force controllability and motion sensing to provide objective, quantifiable training. His most cited work (2017, 8 citations) introduces a system that replaces subjective therapist judgment with precise force control and sensing. To further standardize therapy, Ohno created the "WIPE" virtual training program (2015, 4 citations), a simulated task designed for consistent motor function assessment. His subsequent research (2018, 5 citations) refined these systems, focusing on the critical link between the user interface, the training program, and the robot’s ability to accurately assess a patient’s sensibility. By engineering robots that can both train and evaluate, Ohno is pioneering a data-driven approach to rehabilitation, aiming to replace subjective expertise with reproducible, evidence-based therapy.