Quoc Truong Nguyen

Ho Chi Minh City University of Technology

Papers

1

Total Citations

3

H-Index

1

About

Quoc Truong Nguyen is a robotics researcher specializing in sensor fusion, localization, and autonomous navigation for mobile robots. His work addresses the critical challenge of achieving accurate, low-cost indoor positioning—a cornerstone for reliable robot operation in GPS-denied environments. Nguyen’s most cited study, "Indoor Mobile Robot Positioning using Sensor Fusion," presents an innovative system that integrates Ultra-wideband (UWB) technology with inertial measurement units (IMU) and wheel odometry. By applying an Extended Kalman Filter, he demonstrates how fusing these diverse sensor inputs significantly enhances localization precision and resolution. This contribution is vital for advancing practical, affordable robotic systems in warehouses, factories, and smart spaces. Although early in his career, Nguyen’s focused approach to solving real-world positioning problems has already attracted attention, with his work serving as a foundation for further developments in robust, sensor-rich robot navigation.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Indoor Mobile Robot Positioning using Sensor Fusion
3 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Ho Chi Minh City University of Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago