Yohei Kurata

University of Bremen, Toyohashi University of Technology

Papers

Total Citations

H-Index

About

Yohei Kurata is a researcher whose work bridges spatial cognition, human-robot interaction, and natural language processing. His key research areas include spatial models for interpreting motion expressions, route instruction generation, and the future of robot utterance generation. Kurata’s most-cited paper, "Interpreting Motion Expressions in Route Instructions Using Two Projection-Based Spatial Models" (2008, 13 citations), introduces innovative projection-based frameworks that allow robots to understand and generate human-like spatial language—a foundational contribution to improving how machines process dynamic, location-based instructions. This work has influenced subsequent studies in cognitive robotics and spatial reasoning. In his notable paper "Talking-Ally: What is the future of robot's utterance generation?" (2015, 5 citations), Kurata tackles the enduring challenge of making robot speech contextually appropriate and socially engaging, highlighting the complexities of designing utterance mechanisms that feel natural in human-robot interaction. His research demonstrates a commitment to advancing how robots interpret and produce language in real-world environments, with implications for assistive technologies and autonomous navigation. Kurata’s contributions continue to shape discussions on spatial language understanding and the evolution of communicative robots.