Guizhou Cao

Electric Power Research Institute, Zhengzhou University

Papers

Total Citations

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About

Guizhou Cao is a leading researcher in soft robotics, with a focus on the modeling, control, and application of soft actuators. His work bridges the gap between theoretical mechanics and practical implementation, particularly through the development of advanced control strategies for highly deformable systems. Cao’s most-cited paper (2021, 37 citations) introduces an observer-based continuous adaptive sliding mode control for soft actuators, addressing the critical challenge of robust motion control in the presence of model uncertainties and external disturbances. His earlier foundational work on soft fast pneumatic networks actuators (fPNA, 2020, 10 citations) provides analytical modeling and control frameworks for these versatile devices, which enable large-amplitude motion and long lifespans. This research has direct implications for innovative applications, including rehabilitation gloves, soft grippers, and multi-gait robots. By tackling the inherent complexity of infinite-degree-of-freedom systems, Cao’s contributions are advancing the reliability and precision of soft robotic systems, making them more viable for real-world assistive and industrial tasks.