Yukiko Nakagawa

Papers

Total Citations

H-Index

About

Yukiko Nakagawa’s research career is defined by a unique intersection of robotics, fuzzy logic, and human-robot interaction. Her most influential work, “And the Fans are Going Wild! SIG Plus MIKE” (2001, 7 citations), explores how robotic systems can engage human audiences, laying groundwork for socially interactive robots. Nakagawa also advanced educational robotics through “Education Using Small Humanoid Robot” (2005, 5 citations), demonstrating how compact humanoids can serve as effective teaching tools. A foundational contribution comes from her 1997 survey on “Pattern Recognition & Image Understanding based on Fuzzy Technology” (5 citations), where she and her group developed four novel fuzzy clustering and vision techniques—including a modified Fuzzy C-Means algorithm for remote sensing imagery—that enhanced robot arm and vision system performance. Her work on “SSL-Humanoid” (2011, 4 citations) further showcases her commitment to integrating fuzzy logic with humanoid platforms. Though her citation counts are modest, Nakagawa’s pioneering fusion of fuzzy pattern recognition with humanoid robotics has influenced subsequent work in educational and interactive robotics, making her a notable figure in the niche where soft computing meets embodied AI.