Koki Eimon

National Institute of Technology Okinawa College

Papers

Total Citations

H-Index

About

Koki Eimon is a robotics researcher whose work focuses on human-robot interaction and autonomous tracking systems. His most significant contributions center on the development of a human-tracking robot that leverages QR code recognition for robust person identification—a novel approach designed for real-world applications in commercial environments like airports and factories. In his foundational 2011 paper, which has garnered 14 citations, Eimon outlines a three-step tracking process where QR code recognition serves as the critical first step for reliable personal identification. A subsequent paper, with 7 citations, expands this framework to a four-step process, further refining the robot’s ability to follow individuals accurately in dynamic settings. Eimon’s work addresses a key challenge in robotics: enabling machines to track humans without relying on expensive or complex sensor arrays. By using simple, cost-effective QR codes, his research offers a practical solution for improving automation in logistics and service industries. His contributions highlight the potential of integrating low-cost identification methods into autonomous systems, paving the way for more accessible human-tracking technologies in commercial and industrial contexts.