Nguyen Cao Thanh

Hanoi University of Science and Technology

Papers

Total Citations

H-Index

About

Nguyen Cao Thanh is a researcher specializing in control systems, robotics, and fuzzy logic applications. Their most-cited work, "A Comparison of Fuzzy-PID Controller, Fuzzy Logic Controller and PID Controller of an Autonomous Robot" (2021), provides a foundational comparative analysis of intelligent and classical control strategies for autonomous navigation. This study, with 3 citations, systematically evaluates the performance of three controller types—Fuzzy-PID, fuzzy logic, and PID—in terms of stability, responsiveness, and adaptability, offering practical insights for designing robust robotic systems. Thanh’s contribution lies in bridging theoretical control methods with real-world robotic applications, highlighting the trade-offs between computational simplicity and adaptive precision. Their work is particularly valuable for students and engineers exploring autonomous robot control, as it clarifies when to deploy each controller type based on system requirements. While still early in their citation impact, this paper demonstrates Thanh’s ability to synthesize complex control concepts into accessible, comparative frameworks. Their research continues to influence the development of intelligent control systems, with potential applications in mobile robotics, industrial automation, and human-robot interaction.