Tri Duc Tran

Ho Chi Minh City University of Technology, Vietnam National University Ho Chi Minh City

Papers

Total Citations

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About

Dr. Tri Duc Tran is a rising leader in advanced control systems for robotics, with a focus on sliding mode control and its application to mobile and humanoid robots. His work bridges the gap between theoretical robustness and practical implementation, particularly in the challenging domains of autonomous navigation and human-assistive robotics. His most cited paper, "Parameter-Adaptive Event-Triggered Sliding Mode Control for a Mobile Robot" (2022, 11 citations), introduces an innovative control strategy that reduces communication load while maintaining tracking precision—a critical advance for energy-efficient autonomous vehicles and industrial transport robots. In "Terminal super-twisting sliding mode based on high order sliding mode observer for two DOFs lower limb system" (2023, 7 citations), Dr. Tran tackles the complex control of humanoid lower limbs, combining backstepping and super-twisting algorithms to achieve superior trajectory tracking and chattering reduction. His foundational work, "Controlling Center of Mass in Humanoid Robot using Sliding Mode Control" (2020, 5 citations), directly addressed the limitations of traditional PID controllers in bipedal locomotion, providing a dynamic model-based solution for stable walking. With a growing citation record and a clear trajectory toward real-world robotic applications, Dr. Tran is establishing himself as a key contributor to the next generation of robust, adaptive, and intelligent robotic control systems.