Thanh-Tung Ngo

Hanoi University of Science and Technology

Papers

Total Citations

H-Index

About

Thanh-Tung Ngo is a robotics researcher whose work centers on advancing mobile robot navigation through intelligent sensor fusion and control algorithms. His key contributions lie in developing multi-layer sensor integration techniques that enable robots to perceive their environment more accurately, directly improving autonomous movement in complex, real-world settings. His most cited paper, "Improvement of control algorithm for mobile robot using multi-layer sensor fusion" (2021), addresses the critical challenge of localization and mapping, proposing a refined approach that enhances a robot’s ability to determine its position and navigate safely. While his citation count is still growing—with this work accumulating 2 citations—it reflects a foundational contribution to a rapidly expanding field. Ngo’s research is particularly relevant to applications in smart logistics, exploration, and intelligent services, where reliable autonomous navigation is essential. By focusing on the intersection of sensor data processing and control theory, he is helping to bridge the gap between theoretical robotics and practical deployment, making his work a valuable resource for students and researchers interested in the future of autonomous systems.