Duc-Quang Nguyen

Papers

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About

Duc-Quang Nguyen is a robotics and control systems researcher whose work centers on intelligent control for advanced robotic platforms, particularly using fuzzy logic and optimization algorithms. His research focuses on developing sophisticated controllers for parallel robots and mobile robots, addressing the complex dynamic challenges inherent in real-world robotic operation. Nguyen’s most notable contributions include the design of an Interval Type-2 Fuzzy Logic Controller (IT2FLC) optimized by Genetic Algorithm for delta robot trajectory control, and a real-time path planning system for Mecanum-wheeled mobile robots using type-2 fuzzy logic. These works tackle critical issues in robotics: precise motion control for parallel manipulators and autonomous navigation for omnidirectional platforms. His 2024 and 2025 papers, each garnering early citations, demonstrate the growing interest in his approaches to handling system uncertainties and nonlinear dynamics. By combining type-2 fuzzy logic’s superior uncertainty handling with evolutionary optimization, Nguyen is advancing the frontier of adaptive, intelligent robotic control systems that can operate effectively in complex, variable environments.