Do Xuan Phu
Papers
5
Total Citations
171
H-Index
3
About
Dr. Do Xuan Phu is a leading researcher in advanced robotics and intelligent control systems, whose work bridges the gap between theoretical control theory and practical human-robot interaction. His primary research areas include fault-tolerant control, digital twin implementation, and gesture-based human-robot interfaces. Dr. Phu’s most impactful contribution is his seminal 2019 paper on a self-tuning fuzzy PID-nonsingular fast terminal sliding mode control for robust fault-tolerant control of robot manipulators, which has garnered 156 citations—a testament to its foundational role in the field. This work provides a powerful framework for ensuring robot safety and performance even under system faults. More recently, he has pioneered the application of the ISO 23247 standard for digital twin implementation in collaborative robotics (2024), and developed innovative, wireless gesture recognition systems using high-speed marker-based motion capture (2023). These systems enable intuitive, low-latency human-robot interaction without requiring onboard power sources or additional hardware. Dr. Phu’s work is widely recognized for its practical impact, advancing both industrial automation and educational robotics through platforms like MiniRos, an autonomous UGV designed for research and teaching.
Research Focus
Key Achievements
Top Papers
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- 5MiniRos: an Autonomous UGV Robot for Education and Research3 citations · 2021