Yurni Oktarini

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About

Yurni Oktarini is a researcher in robotics and intelligent systems, with a primary focus on autonomous navigation and control. Her work centers on enhancing mobile robot performance through the application of computational intelligence, particularly fuzzy logic and neural networks. In her highly cited 2019 study, "Performance Comparison of Fuzzy Logic and Neural Network Design for Mobile Robot Navigation," Oktarini provided a critical comparative analysis of these two approaches for robots operating in dull, dirty, or dangerous environments—settings where human substitution is essential. This work has garnered 15 citations, reflecting its foundational value in the field. By systematically evaluating how fuzzy logic and neural networks handle real-time decision-making and path planning, Oktarini has contributed to more reliable and adaptable robotic systems. Her research is particularly relevant for industrial and domestic applications, where robots must imitate human abilities to perform physical tasks safely and efficiently. Oktarini’s contributions help bridge the gap between theoretical control methods and practical robot deployment, making her a notable voice in the advancement of intelligent autonomous systems.