Yuta Yokoyama
Papers
6
Total Citations
100
H-Index
5
About
Yuta Yokoyama’s research lies at the intersection of human-robot interaction and autonomous navigation, with a focus on enabling robots to move safely and efficiently in human-coexisting environments. His work addresses the critical challenge of robot intent communication, exploring how non-verbal cues like light and screen indicators can convey directional intent to pedestrians—a key factor for smooth, legible navigation. In congested or cramped spaces, Yokoyama has investigated contact-based inducement as a means to elicit cooperation from obstructing humans, while also studying the social acceptance of such physical interactions. His most cited paper, “A Preliminary Study of Interactive Navigation Framework with Situation-Adaptive Multimodal Inducement” (30 citations), demonstrates a framework that adapts robot behavior to dynamic human contexts. Beyond navigation, his early work includes developing a soccer-playing robot for ROBOCON’94, showcasing his foundation in mechatronics education. With over 100 total citations, Yokoyama’s contributions are vital for designing socially aware robots that can intuitively communicate and collaborate with people in shared spaces.
Research Focus
Key Achievements
Top Papers
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