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About

Seiji Kasahara is a robotics researcher specializing in autonomous inspection systems for industrial plants, with a focus on change detection and acoustic monitoring. His work addresses critical safety and operational challenges in complex environments like refineries, where continuous monitoring is essential. Kasahara’s major contributions include developing a system that uses mobile robots to detect three-dimensional changes in plant environments by comparing inspection videos from past and current patrols, leveraging pose information for accurate alignment. His most-cited paper (5 citations) introduces this approach, while another study proposes sequential filtering to detect surface anomalies on pipes from robot-captured video. Additionally, Kasahara has explored acoustic monitoring, using autoencoders to identify abnormal sounds during robot patrols, a novel method that enhances traditional operator-led inspections. His research integrates computer vision, robotics, and machine learning to automate and improve industrial safety. With a growing citation record, Kasahara’s work is gaining recognition for its practical impact on autonomous plant inspection, offering scalable solutions for detecting structural and operational anomalies in real-time.