Masaki Kuribayashi

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About

Masaki Kuribayashi is a pioneering researcher at the intersection of assistive technology and human-robot interaction, dedicated to creating navigation systems that empower blind individuals to explore unfamiliar environments independently. His primary research areas include map-less indoor navigation, robotic guidance, and visual language navigation (VLN) for accessibility. Kuribayashi’s major contributions center on eliminating the reliance on prebuilt maps, which are costly and impractical for widespread use. His seminal work, “PathFinder” (2023, 41 citations), introduced a groundbreaking map-less navigation system that enables blind users to traverse unknown buildings without prior environmental data. Building on this, “WanderGuide” (2025, 12 citations) advanced the concept by integrating a robotic guide that facilitates recreational exploration, allowing users to query surroundings and adjust detail levels. Most recently, “Memory-Maze” (2025) addresses the challenge of VLN for blind users, proposing a scenario-driven benchmark for robots to interpret route instructions from sighted passersby in novel environments. Kuribayashi’s work has garnered significant attention, with PathFinder cited 41 times, reflecting its impact on accessible navigation. His research not only pushes technical boundaries but also directly improves quality of life, making him a notable figure in assistive robotics.