Papers

3

Total Citations

26

H-Index

3

About

Duc-Lung Vu is a robotics researcher whose work spans autonomous navigation, path planning, and advanced control systems for mobile robots. His foundational 2013 contribution, "Global Path Planning for Autonomous Robots Using Modified Visibility-Graph," introduced an efficient algorithm for optimized navigation in land-based mobile robotic systems, leveraging a modified visibility-graph approach rooted in combinatorial planning and computational geometry. This work has accumulated 15 citations and remains a notable reference in the autonomous navigation literature. More recently, Vu has shifted his focus toward robust trajectory tracking, developing a Second-Order Terminal Sliding Mode (2TSM) control framework for Differential Drive Mobile Robots (DDMRs). This cascaded control architecture elegantly separates velocity tracking at the dynamic level from kinematic control at the outer loop, offering improved precision and disturbance rejection. His 2024 publications on this topic have collectively gathered 11 citations within a short period, signaling strong early interest from the control systems community. Across his research portfolio, Vu demonstrates a consistent commitment to bridging theoretical control methods with practical robotics applications, making his work particularly valuable for researchers and engineers working on autonomous ground vehicle systems and real-time motion control.

Research Focus

Key Achievements

3
H-Index
3
Papers
26
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Global path planning for autonomous robots using modified visibility-graph
15 citations · 2013
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Ho Chi Minh City University of Technology, Vietnam National University Ho Chi Minh City

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago