Susumu Shimizu

Papers

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About

Susumu Shimizu is a robotics researcher specializing in autonomous visual inspection systems for industrial infrastructure. His primary research areas include change detection in 3D environments, mobile robot navigation, and visual anomaly detection for plant and pipe inspection. Shimizu's major contributions lie in developing methods that enable robots to autonomously compare inspection videos over time, identifying subtle deviations from normal conditions on surfaces such as pipes and plant equipment. His work on "Change Detection in Image Pairs for Plant Inspection Using Mobile Robot" (2025, 5 citations) proposes a system that leverages pose information to align past and current inspection footage, allowing for precise detection of structural changes. In a related study, "Change Detection in Pipe Image Pairs Extracted from Inspection Videos by Sequential Filtering" (2024, 2 citations), he introduces a filtering technique to isolate and compare pipe surface images from sequential patrol videos. Though early in his citation impact, Shimizu's research addresses a critical industrial need for automated, reliable inspection of aging infrastructure, reducing human risk and improving maintenance efficiency. His work represents a promising step toward fully autonomous plant monitoring systems.