About

Shinya Sasaki is a pioneering researcher at the intersection of rehabilitation robotics, human-robot interaction, and tribology. His most impactful work centers on the development and clinical application of the Gait Exercise Assist Robot (GEAR), a robotic system designed to improve gait training for stroke patients with hemiplegia. Sasaki’s key contributions include precise assist control and enriched feedback mechanisms that allow patients to practice walking with minimal compensatory movements, addressing critical challenges like knee instability during early rehabilitation. His 2017 paper on GEAR’s features has garnered 36 citations, while a 2018 pilot study demonstrated its effectiveness in improving gait patterns, earning 18 citations. Beyond rehabilitation, Sasaki explores friction control through surface texturing—a field critical for reducing energy loss in mechanical systems—as highlighted in his 2024 review with 12 citations. He has also investigated telexistence on ships and the psychological effects of android robot operation on personal space, showcasing a multidisciplinary approach. Sasaki’s work bridges engineering and clinical practice, offering tangible solutions for motor learning and assistive technology.

Research Focus

Key Achievements

6
H-Index
6
Papers
88
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
The features of Gait Exercise Assist Robot: Precise assist control and enriched feedback
36 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Fujita Health University Hospital, Tokyo University of Science, Tokyo University of Marine Science and Technology, University of Tsukuba

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago