Long Xuan Gia

Vietnam Academy of Science and Technology

Papers

Total Citations

H-Index

About

Long Xuan Gia is a robotics researcher whose work centers on advanced control strategies for autonomous mobile systems, with a particular emphasis on trajectory tracking and non-holonomic vehicle dynamics. His most cited paper, "Non-singular terminal sliding mode control for trajectory-tracking of a differential drive robot" (2024, 4 citations), introduces a cascade control scheme that pairs a kinematic controller with a Non-singular Terminal Sliding Mode (NTSM) dynamic controller. This approach addresses the persistent challenge of achieving precise, finite-time convergence while avoiding the singularity issues common in conventional sliding mode designs. By focusing on differential drive robots—a ubiquitous platform in service and industrial robotics—Gia’s work offers practical improvements in robustness against disturbances and model uncertainties. Though early in its citation impact, the paper represents a significant contribution to nonlinear control theory applied to real-world robotic systems. Gia’s research sits at the intersection of control engineering and mobile robotics, providing a foundation for future work in autonomous navigation, multi-robot coordination, and safety-critical applications where reliable trajectory tracking is essential.