Naoto Mizutani

Tsu City College, Mie University

Papers

10

Total Citations

71

H-Index

6

About

Naoto Mizutani is a robotics and control systems researcher whose work spans two compelling domains: autonomous vehicle testing and assistive exoskeleton technology for individuals with spinal cord injuries. In the realm of vehicle performance evaluation, Mizutani has made significant contributions to the development of robotic driver systems capable of precisely replicating standardized driving test cycles on chassis dynamometers. His research addresses critical challenges including time delays, gear-change force discontinuities, parametric vehicle variations, and transmission types — from manual to continuously variable — resulting in highly reproducible fuel consumption and emissions measurements that outperform even professional human drivers. These contributions, accumulating over 40 citations across multiple publications, have practical implications for automotive engineering and emissions compliance testing worldwide. Equally notable is Mizutani's work in rehabilitation robotics, where he has developed wearable exoskeleton systems designed to restore functional movement in patients with C4- and C5-level cervical cord injuries. By leveraging residual muscle activity and electromyogram signals, his systems enable users to perform meaningful upper-limb tasks such as reaching and object manipulation. This body of work, cited nearly 30 times, reflects a deep commitment to translating advanced control theory into technologies that meaningfully improve quality of life for individuals living with paralysis.

Research Focus

Key Achievements

6
H-Index
10
Papers
71
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Fuel consumption in a driving test cycle by robotic driver considering system dynamics
14 citations · 2015
📈 Most Prolific Year: 2015 (4 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: Tsu City College, Mie University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago