Koichiro Seya

Nihon University, College of Industrial Technology

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Total Citations

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About

Koichiro Seya is a pioneering researcher in the modeling and reliability analysis of multi-robot and automated systems, with a focus on stochastic processes and Petri net theory. His major contributions lie in developing probabilistic frameworks to evaluate the behavior and dependability of complex robotic systems operating under uncertainty. Seya’s seminal 1989 paper, “Probabilistic behavior and reliability analysis for a multi-robot system by applying Petri net and Markov renewal process theory,” introduced a foundational approach that combines Petri nets with Markov renewal processes to capture both concurrent motions and failure-repair dynamics, earning 11 citations. He further extended this work in 1992 with “Extended stochastic Petri Net models for systems with parallel and cooperative motions,” which addressed the challenges of modeling cooperative and parallel robot actions—critical for industrial automation and collaborative robotics. Though his citation counts are modest, Seya’s research is notable for its early integration of formal modeling techniques into reliability engineering, influencing subsequent work in multi-agent systems and automated manufacturing. His contributions remain relevant for students and researchers exploring the intersection of stochastic modeling, robotics, and system dependability.