Papers
2
Total Citations
18
H-Index
2
About
Yung Yue Chen is a researcher specializing in robotics and nonlinear control systems, with a particular focus on autonomous and wheeled mobile robots. His work centers on developing sophisticated control strategies that address real-world engineering challenges, especially those involving system uncertainties and dynamic environments. Chen's most notable contribution is his 2018 work on wheeled mobile robot design with robustness properties, which introduced a nonlinear robust control law specifically engineered to handle trajectory tracking under conditions of modeling uncertainty — a persistent challenge in practical robotics deployment. This paper has garnered 14 citations, reflecting meaningful engagement from the robotics research community. His earlier 2013 investigation further demonstrated his commitment to bridging theory and practice, presenting a nonlinear adaptive H₂ control approach for autonomous mobile robots that translates mathematical frameworks into implementable tracking commands for predefined trajectories. Across his research portfolio, Chen consistently addresses the gap between idealized control models and the messy realities of physical robotic systems. His expertise in nonlinear adaptive and robust control design positions his work as a valuable reference for engineers and researchers tackling autonomous navigation, mobile platform stability, and intelligent control system development. Students working in robotics control theory would find his trajectory tracking methodologies particularly instructive.
Research Focus
Key Achievements
Top Papers
- 1Wheeled mobile robot design with robustness properties14 citations · 2018
- 2