Masato Kawamura

Nara Institute of Science and Technology, Fukuoka University

Papers

Total Citations

H-Index

About

Masato Kawamura’s research lies at the intersection of human-robot interaction, cognitive robotics, and knowledge representation. His most cited work, “Gaze motion planning for android robot” (2011, 9 citations), addresses a core challenge in android design: achieving human-like gaze behavior. By controlling eye convergence and the eye-to-head angle ratio, Kawamura’s method enhances the naturalness of android interactions, contributing to the field of social robotics. Earlier, in “A Robot Programming Based on Frame Representation of Knowledge” (2007, 3 citations), he developed a novel programming framework that integrates object-oriented principles, case grammar, and Conceptual Dependency theory into a frame-based knowledge base. This work enables multimodal human-robot interfaces, allowing robots to interpret and execute complex commands more intuitively. While his citation counts are modest, Kawamura’s contributions are foundational in advancing believable android behavior and intelligent robot programming. His research bridges engineering and cognitive science, offering practical tools for creating more responsive, human-like machines. For students and researchers, Kawamura’s work exemplifies how thoughtful integration of linguistic and cognitive theories can shape the next generation of autonomous systems.