Yoshihisa Shibata
Papers
2
Total Citations
53
H-Index
2
About
Yoshihisa Shibata is a pioneering researcher at the intersection of soft robotics, sensor systems, and prosthetic design, whose work addresses the fundamental tension between compliance and structural integrity in robotic manipulation. His most influential contribution, "An Embedded, Multi-Modal Sensor System for Scalable Robotic and Prosthetic Hand Fingers" (2019, 45 citations), tackles the critical challenge of integrating sensory feedback into anthropomorphic hands for closed-loop grasping control—a problem that has long hindered the development of dexterous prosthetics and industrial grippers. Shibata’s approach emphasizes scalability and multi-modal sensing, enabling more natural, adaptive interactions with objects. In his more recent work, "On high stiffness of soft robots for compatibility of deformation and function" (2022, 8 citations), he explores a paradox central to the field: how soft robots can achieve the high stiffness necessary for human-scale payloads while retaining the adaptive deformation needed for safe, gentle grasping. This research has direct implications for manufacturing, healthcare, and assistive technologies. Shibata’s contributions are shaping the next generation of robotic hands that are both soft enough to handle fragile objects and strong enough for real-world tasks.
Research Focus
Key Achievements
Top Papers
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