Dang Hien Ngo

Ho Chi Minh City University of Technology

Papers

Total Citations

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About

Dang Hien Ngo is a researcher specializing in robotics, sensor fusion, and autonomous navigation systems. His work focuses on enhancing the accuracy and reliability of mobile robot localization through innovative sensor integration. His most-cited paper, "Indoor Mobile Robot Positioning using Sensor Fusion" (2022), presents a low-cost positioning system that combines Ultra-wide-band (UWB) technology with inertial measurement units (IMU) and wheel odometry. By employing an Extended Kalman Filter, Ngo's research significantly improves the precision and resolution of indoor robot localization, addressing critical challenges in real-world deployment. With 3 citations, this work demonstrates early impact in the field, offering practical solutions for cost-effective autonomous navigation. Ngo's contributions are particularly valuable for advancing robotics in confined or GPS-denied environments, where accurate positioning is essential. His research holds promise for applications in logistics, manufacturing, and service robotics, positioning him as an emerging voice in sensor fusion and mobile robot autonomy.