Yoshihiro Fuse

Papers

Total Citations

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About

Yoshihiro Fuse is a robotics researcher specializing in autonomous navigation and mobile manipulation for challenging environments, particularly in forestry and industrial applications. His work centers on enabling robots to operate reliably on rough terrain and in unstructured settings, where conventional localization and control methods often fail. Fuse’s major contributions include developing a LiDAR-SLAM and U-Net-based system for detecting forest road surfaces, allowing mobile robots and heavy forestry vehicles to autonomously follow passable paths despite changing geometry, surface conditions, and lighting. He has also advanced 3D scan matching techniques for mobile robot localization over rough terrain, addressing the critical issue of increased odometry errors in such environments. Additionally, Fuse designed a non-interference PID control system for twin-brush polishing robots, solving the problem of unwanted movement caused by rotating brush friction—enabling lighter, more efficient floor-cleaning machines. While his most-cited papers have garnered modest citation counts (3–5 each), their practical focus on real-world deployment—from forest roads to factory floors—demonstrates significant applied impact. Fuse’s work bridges the gap between robust perception and control, making autonomous systems more viable in demanding, real-world conditions.