Yasushi Yagi

Papers

Total Citations

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About

Yasushi Yagi is a researcher whose work sits at the intersection of computer vision, robotics, and intelligent sensing systems. His contributions span reactive visual navigation, omnidirectional sensing, and pattern recognition — fields that underpin the development of autonomous and disaster-response robotic systems. His most influential work, "Reactive Visual Navigation Based on Omnidirectional Sensing" (2001), demonstrated practical approaches to path following and collision avoidance using wide-field visual input, earning 17 citations and establishing foundational methods for vision-guided robot locomotion. Yagi has also contributed to applied robotics for high-stakes environments, as evidenced by his collaborative research on networked robotic systems designed for disaster mitigation, including remote operation over rough terrain and high-resolution 3D geometry acquisition — work with clear real-world humanitarian relevance. His more recent engagement with pattern recognition reflects a continued commitment to advancing machine perception. While his citation profile remains focused rather than broadly expansive, his research addresses genuinely critical challenges in autonomous systems, making his work a valuable reference point for students and researchers exploring the convergence of computer vision and field robotics.