Hayato Yanagawa
Papers
6
Total Citations
101
H-Index
5
About
Hayato Yanagawa is a pioneering researcher in human-robot interaction, specializing in navigation strategies that enable autonomous robots to coexist seamlessly with humans. His work centers on developing multimodal communication systems—using light, screen indicators, and even contact-based inducement—to convey robot intent and elicit cooperation from people in crowded or congested environments. Yanagawa’s most-cited paper, “A Preliminary Study of Interactive Navigation Framework with Situation-Adaptive Multimodal Inducement” (2019, 30 citations), introduces a framework that adapts robot behavior to human presence, moving beyond simple pathfinding to dynamic, context-aware navigation. His 2016 studies on light and display indicators for directional intent (29 and 21 citations, respectively) demonstrate how non-verbal cues can make robot motion more legible and socially acceptable. Notably, his 2015 work on contact-based inducement (13 citations) explores the delicate balance between efficiency and social acceptance when robots physically prompt humans to yield space. Yanagawa’s research has cumulative citations exceeding 100, reflecting its impact on the field of socially-aware robotics. His 2023 paper on error-tolerant navigation further advances this line of inquiry, proposing sequential inducement strategies that account for human intent estimation errors, solidifying his reputation as a key contributor to the future of human-symbiotic mobile robots.
Research Focus
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