Manutsawee Kiew-ong-art

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About

Manutsawee Kiew-ong-art is a researcher focused on intelligent control systems, particularly fuzzy logic control and its application to assistive robotics. Her key research areas include Type-1 and Interval Type-2 fuzzy systems, Takagi-Sugeno-Kang (TSK) and Mamdani algorithms, and self-balancing wheelchair technology. Her most cited work, a 2023 comparative study, systematically evaluates four distinct fuzzy logic controllers—Type-1 and Interval Type-2 variants of both TSK and Mamdani architectures—for stabilizing self-balancing wheelchairs. This study, which has garnered 4 citations, provides critical insights into controller performance trade-offs, demonstrating how Interval Type-2 fuzzy systems handle uncertainty more robustly than their Type-1 counterparts. By developing MATLAB-based simulations to test these controllers, Kiew-ong-art has contributed practical knowledge for designing safer, more reliable mobility aids for individuals with disabilities. Her work bridges theoretical fuzzy logic advancements with real-world engineering challenges, offering a foundation for future research in adaptive control systems. As a researcher, she continues to explore how intelligent algorithms can enhance human-robot interaction and autonomous navigation in assistive technologies.