Papers

11

Total Citations

72

H-Index

5

About

Xuan‐Thuan Nguyen is a leading researcher at the intersection of robotics, artificial intelligence, and smart agriculture, whose work is shaping the future of autonomous systems. His primary research areas include intelligent agricultural robotics, autonomous mobile robot navigation, and advanced control systems for parallel and humanoid robots. Nguyen’s most notable contribution is the development of a deep learning-based disease classification system integrated with fuzzy control for greenhouse tomato leaf detection, a breakthrough that has garnered 18 citations and significant influence in autonomous agriculture. He has also pioneered innovative path planning using enhanced RRT algorithms (12 citations) and trajectory control for delta robots via Hedge Algebras methodology (14 citations). His practical impact extends to healthcare, where he designed a Fleet Management System for mobile robots delivering medicine in hospitals (8 citations). Nguyen’s work on multicriteria decision-making for spot welding robot selection and human tracking with YOLOv8 further demonstrates his versatility. With over 70 total citations across his top papers, Nguyen is recognized for bridging theoretical control methods—such as adaptive sliding mode control for redundant manipulators—with real-world applications, making him a key figure in advancing intelligent robotics for agriculture, healthcare, and industrial automation.

Research Focus

Key Achievements

5
H-Index
11
Papers
72
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Intelligent agricultural robotic detection system for greenhouse tomato leaf diseases using soft computing techniques and deep learning
18 citations · 2024
📈 Most Prolific Year: 2024 (3 Papers)
🤝 Key Collaborators: 25
🏛 Institutions: Hanoi University of Science and Technology, Hanoi University of Industry

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago