Quoc Thanh Truong
Papers
2
Total Citations
20
H-Index
2
About
Quoc Thanh Truong is a rising researcher in advanced robotics and intelligent control systems, with a focus on developing robust, adaptive control strategies for complex robotic platforms. His work centers on two key areas: the stabilization of two-legged wheeled balancing robots and the precision control of parallel manipulators under uncertain conditions. In his highly cited 2023 paper, Truong introduced a novel fuzzy LQR PID control framework that integrates a fuzzy supervisor with linear quadratic regulator and PID methods, enabling a two-legged wheeled robot to maintain stability despite uncertainties and varying heights—a critical advancement for mobile service robots. His 2025 contribution further demonstrates his impact by presenting a practical synchronous sliding mode control with time-delay estimation for a 4-DOF parallel manipulator, achieving robust trajectory tracking even with unknown dynamics, variable payloads, and actuator faults. With his work already garnering citations and addressing real-world challenges like actuator failures and dynamic uncertainties, Truong is establishing himself as an innovator in practical, fault-tolerant robotic control, bridging theoretical control theory with deployable solutions for next-generation automation.
Research Focus
Key Achievements
Top Papers
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- 2