Yufeng Zhao

Papers

Total Citations

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About

Yufeng Zhao is a researcher specializing in robotic force control and automated precision grinding, with a particular focus on developing advanced control strategies for industrial manufacturing applications. His work addresses the critical challenge of maintaining constant contact force during robotic grinding processes, a problem that significantly impacts surface quality and machining accuracy in high-precision industries. Zhao's most notable contribution, "Force Tracking Control of Grinding End Effector Based on Backstepping + PID" (2021), has garnered 23 citations and introduced an innovative hybrid control strategy combining backstepping methodology with traditional PID control to achieve consistent grinding force for automobile wheel hubs. This work demonstrated practical improvements in robotic end-effector performance in real manufacturing environments. Building on this foundation, his 2022 study on aero-engine blade grinding employed Extended State Observer (ESO) techniques to mitigate the effects of environmental noise and modeling errors, pushing robotic grinding applications into the demanding aerospace sector. Zhao's research bridges theoretical control engineering and practical industrial automation, making meaningful contributions to smart manufacturing. His work is particularly valuable for engineers and researchers exploring force-controlled robotic systems, offering robust solutions for industries where surface integrity and dimensional precision are paramount.