Papers
5
Total Citations
24
H-Index
4
About
Nguyen Hung is a robotics researcher whose work spans field robotics, warehouse automation, and human-robot interaction. His research focuses on developing practical robotic systems for industrial applications, from pipeline inspection to cargo management. Hung's most cited work includes the experimental verification of a field robotic system for pipeline maintenance (2025, 6 citations), where he addressed key design and development challenges for internal tube inspection. He also developed an open-platform automated guided vehicle (AGV) for warehouse logistics (2018, 6 citations), contributing to the fourth industrial revolution's automation needs. His comprehensive review of path following control strategies for autonomous robotic vehicles (2022, 5 citations) provides valuable insights into stabilizing path following error systems in 2D space. Hung has also contributed to trajectory tracking control for omnidirectional mobile robots using sliding mode controllers (2013, 4 citations) and, most recently, proposed a digital twin-empowered framework for interactive manufacturing using wearable devices (2025, 3 citations). His work demonstrates a consistent focus on bridging theoretical control systems with real-world robotic applications, making significant contributions to autonomous navigation and human-robot collaboration in industrial settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5