Kota Katagiri
Papers
2
Total Citations
34
H-Index
2
About
Kota Katagiri is a researcher advancing the field of assistive robotics, with a focus on human-robot interaction and rehabilitation technologies. His key research areas include robotic exoskeletons, assist-as-needed (AAN) control strategies, and adaptive neural networks for augmenting human power. Katagiri’s major contribution lies in developing control approaches that minimize robotic intervention during rehabilitation therapy, allowing patients to actively participate while ensuring task completion. His 2021 paper on "Satisfying Task Completion and Assist-as-Needed Performance in Robotic Exoskeletons" (25 citations) addresses a critical challenge: balancing forgiveness in controllers to avoid over-assistance without compromising task success. This work is foundational for designing intelligent exoskeletons that adapt to user performance in real time. Additionally, his study on "Augmenting human power by assistive robots: Application of adaptive neural networks" (9 citations) explores machine learning techniques to enhance robotic assistance, paving the way for more intuitive and responsive devices. Katagiri’s research has significant implications for neurorehabilitation and human augmentation, offering scalable solutions for personalized therapy. His work is notable for bridging theoretical control frameworks with practical applications, making him a rising voice in assistive robotics.
Research Focus
Key Achievements
Top Papers
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