Trong Tai Nguyen

Ho Chi Minh City University of Technology

Papers

Total Citations

H-Index

About

Trong Tai Nguyen is a robotics researcher focused on advancing autonomous mobile robot navigation through sensor fusion and intelligent control systems. His work centers on two critical challenges in robotics: precise indoor localization and safe, stable path planning. In his highly cited 2022 study, Nguyen developed a low-cost positioning system that fuses Ultra-wide-band technology, IMU data, and wheel odometry using an Extended Kalman Filter, significantly improving the accuracy and resolution of indoor robot localization—a foundational contribution for warehouse and service robots. His 2023 paper introduces an Advanced Potential Field Controller (APFC) that seamlessly integrates path tracking with obstacle avoidance, solving the dangerous transition problem between following a planned route and reacting to unexpected obstacles. This approach enhances both stability and safety for differential drive robots. With his work accumulating citations in the emerging field of practical mobile robotics, Nguyen is establishing himself as a promising innovator in creating more reliable, cost-effective autonomous systems for real-world deployment.