Papers
8
Total Citations
118
H-Index
5
About
Yun Chen is a control systems and robotics researcher whose work spans autonomous robot control, optimization algorithms, and mobile robot navigation. His research primarily focuses on developing advanced control strategies for wheeled mobile robots (WMRs) and robotic manipulators, addressing real-world challenges such as actuator faults, input saturation, wheel slippage, skidding, and time-varying delays. Chen's most impactful contribution is his 2023 work on finite-time adaptive super-twisting sliding mode control for robotic manipulators with actuator faults, which has accumulated 48 citations, reflecting its significance in fault-tolerant robotics. His parallel work in evolutionary computation is equally notable — his adaptive memetic differential evolution algorithm for multimodal optimization has earned 41 citations, demonstrating versatility across both control theory and computational intelligence. A sustained thread throughout his career is trajectory tracking for WMRs, with contributions addressing longitudinal slippage, torque constraints, and model-free adaptive PID methods dating back to 2010. His rigorous use of Lyapunov-based stability analysis underpins much of this work. Chen's growing publication record and citation impact make him a valuable contributor to intelligent robotics and nonlinear control, offering practical solutions that bridge theoretical rigor with real-world robotic deployment challenges.
Research Focus
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