Yoshiya Shibata
Papers
5
Total Citations
85
H-Index
5
About
Yoshiya Shibata is a leading researcher in soft robotics, with a focus on developing physically compliant systems that simplify and improve robotic assembly. His core contributions lie in designing cable-driven soft wrists and control frameworks that leverage physical softness to absorb impacts, relax control requirements, and enable robust performance in complex assembly and insertion tasks. Shibata’s work demonstrates that soft robots can achieve reliable, precise manipulation without the high-frequency controllers and expensive force sensors required by traditional hard robots. His most cited paper, “A Compact, Cable-driven, Activatable Soft Wrist with Six Degrees of Freedom for Assembly Tasks” (28 citations), introduces a novel soft wrist design that enhances adaptability. He has also pioneered learning-based approaches, using reinforcement learning and human-robot interactions to teach assembly strategies from both successful and failed demonstrations. Notably, Shibata was a key member of Team O2AS, which competed in the World Robot Challenge 2018, showcasing his practical impact. His research bridges soft robotics, machine learning, and human-robot collaboration, offering scalable, resilient solutions for industrial automation.
Research Focus
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Top Papers
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