Minh Duc Vu

Le Quy Don Technical University

Papers

2

Total Citations

11

H-Index

2

About

Minh Duc Vu is a researcher at the forefront of digital twin technology and smart manufacturing, with a focused expertise in industrial robotics and cyber-physical systems. His work centers on bridging the gap between virtual simulation and physical robotic control, particularly for cost-effective automation solutions. Vu’s most cited contributions include the design and implementation of a digital twin for the Mitsubishi RV-12SD industrial robot, demonstrating how virtual replicas can enhance real-time control and operational efficiency. He further advanced this field by proposing a conceptual digital twin framework for developing welding robotic systems, aiming to reduce development costs while improving precision in smart manufacturing environments. Though his citation counts (6 and 5 for his top papers) reflect an emerging career, his research is highly relevant to Industry 4.0, offering practical pathways for small and medium enterprises to adopt advanced automation. Vu’s work underscores the transformative potential of digital twins in making robotic systems more accessible and adaptable, positioning him as a promising contributor to the future of intelligent manufacturing.

Research Focus

Key Achievements

2
H-Index
2
Papers
11
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Design and Implementation of a Digital Twin to Control the Industrial Robot Mitsubishi RV-12SD
6 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Le Quy Don Technical University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago