Yaohui Xu

About

Yaohui Xu is a leading researcher in robotics and intelligent control systems, with a primary focus on compliant actuation and precision force regulation. 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 robotic contact operations: the nonlinearity and time delay inherent in pneumatic systems. By integrating a backpropagation neural network with a Smith predictor, Xu developed a novel control strategy that significantly enhances the performance of traditional PID controllers for compliant constant-force actuators. This contribution is pivotal for enabling safer, more precise interactions between robots and their environments, particularly in tasks requiring delicate force control. Xu’s research bridges the gap between theoretical control algorithms and practical robotic applications, offering robust solutions for industrial automation and human-robot collaboration. His work continues to influence the design of adaptive, high-performance actuation systems, making him a notable figure in the advancement of intelligent robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   An Improved PID Controller for the Compliant Constant-Force Actuator Based on BP Neural Network and Smith Predictor

   30 citations · 2021

Key Collaborators

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