Ryosuke Shibuya
Papers
3
Total Citations
21
H-Index
3
About
Ryosuke Shibuya is a leading researcher in biomechanics and human-robot interaction, with a focus on rehabilitation engineering and robotic control. His work bridges the gap between clinical assessment and robotic assistance, particularly for stroke patients. In a highly cited 2023 study, Shibuya pioneered the use of a markerless motion capture system (Azure Kinect) combined with an LSTM network to estimate ground reaction forces during walking in stroke survivors—a breakthrough that enables non-invasive, real-time gait analysis without force plates. This work, garnering 8 citations, has significant implications for accessible rehabilitation monitoring. In parallel, Shibuya has advanced human stiffness estimation for robotic manipulation, proposing a method to estimate arm stiffness from hand force data in rigid environments, achieving 5 citations. His earlier research on suppressing energy consumption in transportation robots using mobile agents (8 citations) demonstrates a broader interest in efficient, autonomous systems. By integrating machine learning with biomechanical modeling, Shibuya is driving innovations that make robotic assistance more adaptive and clinically practical, with his contributions directly informing the design of intelligent rehabilitation tools and human-aware robotic controllers.
Research Focus
Key Achievements
Top Papers
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