Duc-Huy Nguyen

Hanoi University of Science and Technology

Papers

Total Citations

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About

Duc-Huy Nguyen is a rising researcher in advanced robotics and intelligent control systems, with a focus on cable-driven parallel robots and bio-inspired optimization algorithms. His most-cited work, "Optimized Interval Type-2 Fuzzy Control Using Modified Shark Smell Algorithm for Precision Trajectory Tracking of 8-Cable-Driven Parallel Robots" (2026), introduces a novel hybrid approach that combines interval type-2 fuzzy logic with a modified shark smell algorithm to achieve high-precision trajectory tracking in complex, multi-cable robotic systems. This contribution addresses critical challenges in nonlinear dynamics and real-time control, offering a robust framework for applications in manufacturing, rehabilitation, and large-scale manipulation. Though early in his career, Nguyen’s work has already garnered attention for its innovative fusion of soft computing and nature-inspired optimization, demonstrating significant potential for improving the accuracy and adaptability of cable-driven parallel robots. His research bridges theoretical control design and practical robotic implementation, marking him as a promising contributor to the fields of mechatronics and intelligent automation.