Kei Usui

Papers

Total Citations

H-Index

About

Kei Usui is a researcher in robotics and human-robot interaction, with a focus on developing intuitive programming frameworks for autonomous systems. His most cited work, "Dual-coding representations for robot vision programming in Tekkotsu" (2007, 14 citations), introduces a novel approach to integrating visual perception with robot control through dual-coding theory, enabling more flexible and efficient vision-based programming. This contribution is central to the Tekkotsu open-source robotics platform, which simplifies the development of complex behaviors in mobile robots. Usui's research bridges cognitive science and robotics, emphasizing how symbolic and analogical representations can enhance robot learning and adaptability. While his citation count reflects a niche but impactful area, his work has influenced subsequent studies in robot vision and programming by abstraction, particularly in educational and research settings. His achievements include advancing accessible tools for non-expert programmers to design robot behaviors, making him a notable figure in the intersection of cognitive modeling and practical robotics.