Samuel B. Adejuyigbe
Papers
3
Total Citations
27
H-Index
3
About
Samuel B. Adejuyigbe is a robotics researcher whose work focuses on the critical challenge of autonomous navigation for wheeled mobile robots (WMRs). His research centers on two fundamental problems: path planning—the algorithmic search for obstacle-free routes—and path tracking, which involves designing controllers that enable robots to precisely follow those planned paths. In his highly cited 2020 review, Adejuyigbe systematically analyzed the landscape of path planning and tracking controller algorithms, establishing a foundational reference for the field. He further advanced this work with a quantitative performance review in 2021, introducing key metrics such as computational time and the local minimum problem to rigorously benchmark different algorithms. Beyond theoretical contributions, Adejuyigbe demonstrated practical engineering by prototyping a line-following Automatic Guided Vehicle (AGV) for office file dispatch, showcasing how autonomous systems can automate monotonous clerical tasks. With his most-cited paper garnering 16 citations, Adejuyigbe’s research provides essential frameworks for developing more intelligent, efficient mobile robots capable of operating safely in complex environments.
Research Focus
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Top Papers
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