Papers
4
Total Citations
37
H-Index
3
About
Dr. Van-Phong Vu is a rising researcher in intelligent control systems and multi-robot coordination, whose work bridges computational intelligence and real-world automation. His primary research areas include fuzzy neural control, adaptive robotics, and multi-agent path planning. Dr. Vu’s most significant contribution is the development of a self-organizing double function-link fuzzy brain emotional control system (SDFLFBEC), which offers a novel, efficient algorithm for controlling uncertain nonlinear systems—a paper that has garnered 24 citations since 2020. He has also advanced robotic manipulator control by designing a neural-network-based nonlinear controller with gain-learning ability and output constraints, achieving robust tracking performance. More recently, Dr. Vu has focused on multiple mobile robot systems (MMRS), proposing optimal path planning methods using Ant Colony Optimization (ACO) and leader-following formation control, with applications in indoor navigation via LIDAR sensing. His work on ITSP/IMTSP-based path planning (2024) and multi-target control (2023) demonstrates a clear trajectory toward scalable, intelligent automation. With a growing citation impact and a portfolio that spans from theoretical control design to practical multi-robot systems, Dr. Vu is establishing himself as a contributor to next-generation autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3ITSP/IMTSP-Based Path Planning for Multiple-Mobile Robot System4 citations · 2024
- 4