Papers
3
Total Citations
89
H-Index
3
About
Tran Van Hung is a robotics and control systems researcher whose work centers on the modeling, dynamics, and intelligent control of mobile and parallel robotic platforms. His most influential contribution, "Smooth Switching Robust Adaptive Control for Omnidirectional Mobile Robots" (2015), has garnered 79 citations and stands as a landmark study in addressing both structured and unstructured uncertainties in omnidirectional mobile robot systems. By deriving system dynamics with an arbitrary center of mass location, Hung developed a robust adaptive control framework that significantly advanced the reliability and performance of such platforms in real-world conditions. His earlier work on singularity-free adaptive control (2013) further demonstrated his commitment to solving practical control challenges, particularly parametric uncertainties in electrical and mechanical system constants. More recently, Hung has extended his expertise into vision-guided robotics, designing a Delta robot system that integrates image processing for high-speed, accurate product sorting — reflecting a growing interest in applied industrial automation. Across his research portfolio, Hung has made meaningful contributions to adaptive control theory and robot design, offering both theoretical rigor and practical solutions that continue to inform researchers and engineers working in autonomous and industrial robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Smooth Switching Robust Adaptive Control for Omnidirectional Mobile Robots79 citations · 2015
- 2Design of Delta Robot Using Image Processing for Product Sorting Process7 citations · 2021
- 3