Papers

8

Total Citations

100

H-Index

6

About

Katsuma Inoue is a leading researcher at the intersection of soft robotics, embodied intelligence, and bio-inspired design. His work focuses on harnessing the complex, nonlinear dynamics of soft continuum bodies—from tensegrity structures to flexible manipulators—for adaptive control and information processing. Inoue’s major contributions include pioneering the use of physical reservoir computing in soft robots, demonstrating that a swimming robot’s body dynamics can perform computation without a traditional controller (21 citations). He also developed the “RobOstrich” manipulator, a novel tendon-driven arm modeled on an ostrich neck’s anatomy that achieves dexterous, underactuated motion (19 citations). His 2022 paper on continuum-body pose estimation using recurrent neural networks (26 citations) addresses the critical challenge of sensing in highly deformable systems. Inoue’s work has advanced haptic perception through flexible body dynamics and shown how behavioral diversity emerges from body-environment interactions. With over 100 total citations, his research is shaping the future of soft, resilient robots capable of operating in unstructured environments, from deep-sea exploration to search-and-rescue.

Research Focus

Key Achievements

6
H-Index
8
Papers
100
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Continuum-Body-Pose Estimation From Partial Sensor Information Using Recurrent Neural Networks
26 citations · 2022
📈 Most Prolific Year: 2021 (4 Papers)
🤝 Key Collaborators: 17
🏛 Institutions: The University of Tokyo, Artificial Intelligence in Medicine (Canada), Tokyo University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago