Natsue Yoshimura

Tokyo Institute of Technology

Papers

6

Total Citations

187

H-Index

5

About

Natsue Yoshimura is a leading researcher at the intersection of bio-inspired robotics and neural interfaces, with a focus on developing intuitive, human-centered control systems. Her work spans two major domains: biologically inspired locomotion and hybrid biosignal-based robot control. In locomotion, Yoshimura pioneered hierarchical networks of nonlinear oscillators for hexapod robots, creating central pattern generators that produce versatile, insect-like gaits—a contribution cited over 80 times and foundational for adaptive walking robots. She also demonstrated that chaotic Rössler systems can synthesize diverse gait patterns, bridging nonlinear dynamics and robotics. In neural interfacing, Yoshimura has made landmark contributions to hybrid control, simultaneously acquiring electrooculogram, electromyography (EMG), electroencephalography (EEG), and head movements via consumer-grade wearable devices to guide robot arms—a study with 75 citations that opened practical assistive applications. She further explored user satisfaction in EMG-controlled robot hands, revealing how EEG reflects subjective responses to delayed input, and decoded joint angles from electrocorticograms in primates for brain-machine interfaces. With over 180 total citations across her most-cited works, Yoshimura’s research uniquely integrates neural signal processing, nonlinear dynamics, and robotics, advancing both fundamental understanding of motor control and real-world assistive technologies.

Research Focus

Key Achievements

5
H-Index
6
Papers
187
Total Citations
31
Avg Citations/Paper
🏆 Most Cited Paper
Versatile Locomotion Control of a Hexapod Robot Using a Hierarchical Network of Nonlinear Oscillator Circuits
80 citations · 2018
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Tokyo Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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