Kazuki Yamamoto
Future University Hakodate, Okayama University, Waseda University
Papers
4
Total Citations
27
H-Index
4
About
Kazuki Yamamoto is a researcher whose work bridges the critical intersection of assistive robotics and high-performance computing. His primary research areas include rehabilitation robotics, autonomous driving perception, and parallel computing for heterogeneous systems. Yamamoto’s most impactful contribution lies in developing home-based robotic devices for finger rehabilitation in hemiplegia patients, addressing the pressing need for automated, long-term therapy outside clinical settings. His 2017 paper on a simple robotic device for index finger rehabilitation, along with a 2016 study analyzing its effects on upper limb function recovery, has garnered a combined 13 citations, demonstrating practical relevance in healthcare robotics. In autonomous systems, Yamamoto proposed an environmental recognition method for automatic parking using image-based CNNs (2019, 8 citations), tackling a key challenge in self-driving technology. Notably, his invited paper on the OSCAR compiler and API (2021, 6 citations) showcases his work in optimizing performance and power efficiency for heterogeneous multicore systems used in HPC, AI, and autonomous vehicles. Through these diverse contributions, Yamamoto demonstrates a commitment to creating accessible, intelligent systems that enhance human capabilities and automate complex tasks.
Research Focus
Key Achievements
Top Papers
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