Fokui Chen

Papers

Total Citations

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About

Fokui Chen is a leading researcher in the field of robotic actuation and intelligent control systems, with a particular focus on compliant constant-force actuators and pneumatic system optimization. His most cited work, "An Improved PID Controller for the Compliant Constant-Force Actuator Based on BP Neural Network and Smith Predictor" (2021, 30 citations), addresses a critical challenge in robot contact operations: the nonlinearity and time delay inherent in pneumatic systems. By integrating a backpropagation neural network with a Smith predictor to enhance traditional PID control, Chen developed a method that significantly improves the precision and stability of constant-force control—a vital requirement for safe and effective human-robot interaction and delicate assembly tasks. This contribution has been recognized as a key advancement in overcoming the limitations of conventional controllers in soft robotics. Chen’s research bridges the gap between theoretical control algorithms and practical robotic applications, earning him a reputation for solving real-world engineering problems. With a growing citation impact, his work continues to influence the design of more adaptive and reliable robotic systems, making him a notable figure in the fields of mechatronics and automation.