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About

Masanori Tanimoto is a leading researcher in assistive robotics, specializing in fall prevention and gait rehabilitation for elderly and physically challenged individuals. His work centers on developing intelligent walking assistance devices that proactively enhance user safety and mobility. Tanimoto’s most impactful contribution is his pioneering research on tandem stance avoidance using adaptive and asymmetric admittance control, which prevents high-risk falling states during turning motions—a critical advancement in user safety. His paper on this topic has garnered 30 citations, underscoring its influence in the field. He further advanced clinical gait training with admittance control-based robotic systems that incorporate physiological cost evaluation (16 citations), and introduced adaptive walking load control using a cane-type robot for strength training (8 citations). Tanimoto also developed coordinated movement algorithms for accompanying cane robots, enabling physical-contact-free assistance during gait training (6 citations). His work bridges robotics and clinical rehabilitation, offering practical solutions to the growing demand for caregiver support in aging populations. Through his innovative control strategies and user-centered designs, Tanimoto has significantly improved the safety and effectiveness of assistive walking devices, making him a key figure in fall prevention and robotic gait training research.