Ngoc-Tien Tran
Papers
7
Total Citations
59
H-Index
4
About
Ngoc-Tien Tran is a dynamic researcher specializing in robotics, autonomous systems, and multi-criteria decision-making, whose work bridges intelligent automation with practical industrial applications. With a growing body of influential publications, Tran has made notable contributions to two interconnected domains: advanced robot selection methodologies and mobile robot navigation. Tran's most-cited work, "An Integrated Approach of Fuzzy AHP-TOPSIS for Multi-Criteria Decision-Making in Industrial Robot Selection" (2024, 33 citations), exemplifies his expertise in applying fuzzy logic frameworks to solve complex manufacturing decisions, helping industries identify optimal robotic solutions with greater precision and confidence. This line of research extends into hybrid MCDM models combining Fuzzy AHP and Fuzzy ARAS, demonstrating a sustained commitment to rigorous decision-support systems. Equally impressive is Tran's contributions to autonomous mobile robotics. His research on RRT-based path planning, YOLOv5-driven navigation, and an improved Camshift human tracking algorithm incorporating deep learning and Kalman filtering reflects a comprehensive vision of intelligent, perception-aware robotic systems. His work on machine vision for defect detection further highlights his applied industrial focus. Collectively accumulating over 59 citations, Tran's research offers meaningful advances for researchers, engineers, and manufacturers seeking smarter, safer, and more efficient automation solutions.
Research Focus
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