Yasuyuki Sugaya

Papers

Total Citations

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About

Yasuyuki Sugaya is a robotics researcher whose work focuses on autonomous robot navigation, particularly through innovative visual perception techniques. His primary research area involves using projected light patterns to enable robots to understand and navigate their environments. Sugaya's major contribution lies in developing methods for detecting the boundary between floors and walls—a critical capability for safe indoor robot movement. His most cited paper, "Floor-wall boundary estimation by ellipse fitting" (2015, 5 citations), proposes a novel approach where a robot-mounted projector casts a circular cone of light onto the junction where floor and wall meet. By analyzing the resulting ellipse projection, Sugaya's method can accurately estimate the boundary geometry. He extended this work in "Floor-wall boundary detection from projected ellipses for autonomous robot navigation" (2016, 2 citations), which improves detection robustness by handling scenarios that produce one or two ellipses. While his citation counts are modest, Sugaya's work represents a creative, low-cost approach to environmental perception that avoids expensive sensors like LIDAR. His research contributes to making autonomous navigation more accessible for small robots, demonstrating how geometric principles can solve practical robotics challenges in indoor environments.