K. Yamano

Papers

Total Citations

154

H-Index

About

K. Yamano is a leading researcher in mobile robotics, with a primary focus on sensor-based localization and perception. Their work has been instrumental in advancing how robots navigate and understand their environments, particularly through the innovative use of RFID technology. Yamano’s most significant contribution is the development of a self-localization system for mobile robots using RFID and support vector machines, a landmark 2005 paper that has garnered 136 citations for its practical, low-cost solution to the data association problem. This approach, further refined in a 2007 study (12 citations), leverages standard RFID tags as reliable landmarks, simplifying robot navigation in complex spaces. Beyond RFID, Yamano has also contributed to vision-based systems for detecting mobile robots in office environments (2004, 6 citations), integrating visual data with wireless commands to track robot motion. Their work bridges the gap between inexpensive hardware and sophisticated machine learning, making autonomous navigation more accessible. With a career defined by impactful, application-driven research, Yamano has shaped the field of robot localization, offering foundational solutions that continue to inspire new generations of roboticists.