Koutarou Yayoshi

Papers

Total Citations

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About

Koutarou Yayoshi’s research centers on human-robot interaction, knowledge representation, and robot programming, with a particular focus on making robotic systems more intuitive and accessible through multimodal interfaces. His most cited work, “A Robot Programming Based on Frame Representation of Knowledge” (2007), introduces an innovative method that integrates frame-based knowledge structures with object-oriented programming, case grammar, and Conceptual Dependency theory. This approach enables robots to understand and execute complex commands by representing knowledge in a structured, human-like format, bridging the gap between natural language instructions and machine execution. Though his citation count is modest—with his top paper garnering three citations—Yayoshi’s contribution lies in laying foundational groundwork for more natural human-robot communication. His work is notable for its interdisciplinary synthesis of linguistics, artificial intelligence, and robotics, offering a framework that could simplify robot programming for non-experts. For students and researchers exploring the intersection of cognitive science and robotics, Yayoshi’s research provides a thoughtful early step toward creating robots that can reason about tasks in ways that mirror human understanding.