Xuan Quynh Nguyen

National Council for Science and Technology Policy, Hunan University

Papers

Total Citations

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About

Xuan Quynh Nguyen is a robotics researcher whose work focuses on intelligent motion planning and adaptive control for autonomous systems operating in complex, real-world environments. Her key research areas include robot path planning in unknown and hazardous spaces, as well as robust trajectory tracking for industrial robots. Nguyen’s most impactful contribution is her 2019 paper on robot motion planning in unknown environments with “danger space,” which has earned 36 citations. This work introduced a novel framework that allows humanoid robots to navigate environments containing ambiguous zones—areas that are neither obstacles nor free space—enabling safer and more efficient real-time path planning. In a second notable study, she developed an adaptive trajectory tracking algorithm using sliding mode control and machine learning for free-form surface grinding robots (FFSGRs) affected by actuator dead zones. This work, though with 5 citations, addresses a critical industrial challenge: maintaining grinding quality despite hardware nonlinearities. Nguyen’s research bridges theoretical control methods with practical robotic applications, offering solutions for autonomous navigation and precision manufacturing. Her work is particularly relevant for students and researchers interested in safe robot autonomy, adaptive control, and humanoid robotics in unstructured settings.