Yuna Minami

The University of Tokyo

Papers

4

Total Citations

94

H-Index

4

About

Dr. Yuna Minami is a pioneering researcher at the intersection of soft robotics, bio-inspired engineering, and physical reservoir computing. Her work fundamentally reimagines how soft, deformable structures can serve both as mechanical tools and as computational resources. Minami’s key contributions include demonstrating that flapping-wing dynamics can function as a natural wind-direction sensor for energy-efficient drones, a finding with 39 citations that bridges biomechanics and autonomous navigation. She has also advanced continuum-body-pose estimation using recurrent neural networks (26 citations), enabling soft arms to operate in extreme environments like deep-sea rescue. Perhaps most notably, Minami’s research on self-organizing remote reservoirs (22 citations) shows how computation can be transferred to spatially distant locations by exploiting the dynamic coupling between soft materials and water. Her work on octopus-inspired soft robotic arms (7 citations) further explores how these structures exhibit echo state properties and memory, drawing direct inspiration from biological intelligence. By merging soft actuation with embodied computation, Minami is laying the groundwork for a new class of autonomous, adaptive robots that can sense, compute, and act in unstructured environments without traditional rigid electronics.

Research Focus

Key Achievements

4
H-Index
4
Papers
94
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Flapping‐Wing Dynamics as a Natural Detector of Wind Direction
39 citations · 2020
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: The University of Tokyo

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago