Kai‐Jay Lu

National Taiwan University of Science and Technology

Papers

Total Citations

H-Index

About

Kai-Jay Lu is a pioneering researcher in the field of entertainment robotics, with a focus on creating autonomous machines that can read, interpret, and perform music. His work uniquely bridges optical music recognition (OMR), human-robot interaction, and expressive robotic design. Lu’s most cited paper, "A face robot for autonomous simplified musical notation reading and singing" (2011, 18 citations), demonstrates his core contribution: developing robots that can visually process printed scores and sing with vocal synthesis. His earlier "The realization of a music reading and singing two-wheeled robot" (2007, 5 citations) introduced a novel musical notation editor to enhance user-robot interaction, while his "Humanoid recognizing piano scores techniques" (2014, 3 citations) advanced OMR by enabling robots to read real-world piano scores rather than scanned images. Lu also created a robotic head with artificial facial skin capable of expressing emotions while singing and broadcasting news (2008, 2 citations). Though his citation counts are modest, his work is notable for its creative integration of computer vision, robotics, and music—paving the way for more expressive and interactive autonomous performers.