Xiucheng Dong
Papers
6
Total Citations
69
H-Index
5
About
Dr. Xiucheng Dong is a leading researcher in nonlinear adaptive control and robotic systems, with a particular focus on rehabilitation exoskeletons and human augmentation technologies. His work centers on developing sophisticated control strategies—including repetitive learning control, sliding mode control, and disturbance-observer-based neural approaches—to address the complex challenges of trajectory tracking, energy efficiency, and input saturation in robotic systems. Dr. Dong’s most influential paper, “Nonlinear adaptive control for dynamic and dead-zone uncertainties in robotic systems” (2017), has garnered 24 citations and established foundational methods for handling real-world robotic uncertainties. His notable 2020 study on a hybrid hydraulic system for leg exoskeletons, which achieved 16 citations, introduced an innovative energy-saving control approach that combines unidirectional servo valves with solenoid on-off valves to reduce power consumption during human performance augmentation. With additional contributions to teleoperation control and dual-robot coordination, Dr. Dong’s work has accumulated over 69 citations, demonstrating significant impact in advancing the reliability and efficiency of robotic systems for rehabilitation and industrial applications.
Research Focus
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Top Papers
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