Papers
3
Total Citations
26
H-Index
3
About
Nguyen-Vu Truong is a robotics researcher whose work centers on autonomous navigation and robust control for mobile robots. His key contributions lie in two interconnected areas: global path planning and advanced trajectory tracking. In his foundational 2013 paper, "Global path planning for autonomous robots using modified visibility-graph" (15 citations), Truong introduced an efficient algorithm that leverages a modified visibility-graph—a classic combinatorial planning roadmap—to solve the global optimized path planning problem for land-based mobile robots. This work provides a practical, computationally tractable approach to generating collision-free paths in complex environments. More recently, Truong has advanced the field of motion control with his 2024 papers on "Second-Order Terminal Sliding Mode Control for Trajectory Tracking of a Differential Drive Robot" (8 and 3 citations). Here, he proposes a cascaded control scheme where a second-order terminal sliding mode (2TSM) dynamic controller at the innermost loop precisely tracks the robot’s velocity, while a kinematic controller handles the outer loop. This approach significantly improves robustness and convergence speed for differential drive robots, addressing persistent challenges in nonlinear, uncertain systems. Truong’s work bridges classical geometric planning with modern sliding mode control, offering practical solutions for autonomous robotics.
Research Focus
Key Achievements
Top Papers
- 1Global path planning for autonomous robots using modified visibility-graph15 citations · 2013
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