Kyoko SHIBATA
Papers
13
Total Citations
103
H-Index
7
About
Kyoko Shibata is a robotics researcher whose work spans human motion analysis, rehabilitation engineering, and human-robot interaction. Drawing on wearable sensor technologies, Shibata has made significant contributions to bridging the gap between human biomechanics and robotic control systems. Their pioneering 2006 work on wearable sensor systems for human motion analysis and humanoid robot control (15 citations) laid a foundation for portable, cost-effective alternatives to laboratory-bound optical tracking systems, later extended to biped robot imitation control (14 citations). A particularly notable thread in Shibata's research is the development of master-slave robotic systems capable of force feedback without mechanical sensors (13 citations), enabling more intuitive and safer human-robot cooperation. Shibata has also made meaningful contributions to rehabilitation robotics, designing upper-limb rehabilitation systems with energy-recycling master-slave control and a sit-to-stand training robot for lower-limb recovery — work with direct implications for aging populations globally. Additional investigations into golf swing robotics and impedance control further demonstrate the breadth of their expertise across applied dynamics and soft computing. Collectively, Shibata's research reflects a sustained commitment to making robotic systems more adaptive, accessible, and responsive to human needs.
Research Focus
Key Achievements
Top Papers
- 1
- 2Imitation Control for Biped Robot Using Wearable Motion Sensor14 citations · 2010
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- 4Identification of a golf swing robot using soft computing approach8 citations · 2010
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- 9A self-controlled robot for upper limb rehabilitation6 citations · 2010
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