Guojin Pei

Papers

Total Citations

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About

Guojin Pei is a leading researcher in robotics and intelligent control systems, with a primary focus on compliant actuation and precision force regulation for robotic contact operations. His most influential work, "An Improved PID Controller for the Compliant Constant-Force Actuator Based on BP Neural Network and Smith Predictor" (2021), has garnered 30 citations and addresses a critical challenge in pneumatic actuation: the nonlinearity and time delay inherent in these systems. Pei's key contribution lies in developing a hybrid control strategy that integrates a backpropagation neural network with a Smith predictor to optimize PID parameters, significantly enhancing the stability and accuracy of constant-force control in compliant actuators. This innovation is vital for applications requiring delicate contact tasks, such as assembly and human-robot interaction. Beyond this, Pei's research explores adaptive control methodologies and actuator design, advancing the field of soft robotics and industrial automation. His work is notable for bridging theoretical control algorithms with practical hardware solutions, making him a respected figure in the robotics community. With a growing citation record, Pei continues to influence the development of intelligent, force-sensitive robotic systems.