Shohei Iizuka

Papers

Total Citations

H-Index

About

Dr. Shohei Iizuka is a pioneering roboticist specializing in adaptive automation for building maintenance, with a particular focus on glass façade-cleaning systems. His core research integrates sensor-based perception, robotic manipulation, and environmental adaptation to enhance the autonomy of service robots in complex, real-world structures. Dr. Iizuka’s most notable contribution is his work on window shape estimation, which directly addresses a critical bottleneck in façade-cleaning robotics: the need for robots to dynamically adjust to varying architectural geometries. His 2023 paper, "Window Shape Estimation for Glass Façade-Cleaning Robot," introduces a novel scanning robot equipped with a perpendicularly mounted 2D laser range scanner, enabling precise, real-time mapping of window surfaces. This approach dramatically improves a robot’s ability to navigate and clean non-standard façades, reducing reliance on pre-programmed paths. While early in its citation trajectory, this work has already garnered 4 citations, signaling its foundational role in the field. Dr. Iizuka’s research promises to make building maintenance safer, more efficient, and more scalable, positioning him as a rising leader in the intersection of robotics and smart infrastructure.