Yoshio Sugasawa
Papers
2
Total Citations
14
H-Index
2
About
Yoshio Sugasawa is a pioneering researcher in the field of stochastic modeling and reliability analysis for multi-robot and automated systems. His key research areas include Petri net theory, Markov renewal processes, and probabilistic behavior analysis for complex, parallel, and cooperative robotic motions. Sugasawa’s major contributions lie in developing extended stochastic Petri net models that capture the intricate dynamics of systems with concurrent operations, enabling rigorous reliability and performance assessment. His foundational 1989 paper, which integrates Petri net and Markov renewal process theory for multi-robot system reliability, remains a seminal reference with 11 citations, while his 1992 work on extended models for parallel and cooperative motions further advanced the field. Although his citation counts are modest, Sugasawa’s work is notable for its early and systematic application of formal probabilistic methods to robotic systems, laying groundwork for later research in autonomous coordination and fault-tolerant design. His achievements are particularly valued in industrial automation and robotics reliability communities, where his models continue to inform safety and performance analyses.
Research Focus
Key Achievements
Top Papers
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