Zhenlin Sun

Papers

Total Citations

H-Index

About

Zhenlin Sun’s research centers on robotic force control and precision manufacturing, with a particular focus on automated grinding systems for industrial applications. His most cited work, “Force tracking control of grinding end effector based on backstepping + PID” (2021, 23 citations), introduces a novel hybrid control strategy that combines backstepping control with proportional-integral-derivative (PID) methods to achieve constant-force grinding of automobile wheel hubs. This contribution addresses a critical challenge in automated surface finishing: maintaining consistent contact force during robotic grinding, which directly impacts product quality and process reliability. By integrating the grinding end effector onto a robot flange, Sun’s approach enables more precise force tracking, reducing variability and improving efficiency in manufacturing workflows. His work has been recognized for bridging theoretical control design with practical industrial needs, offering a scalable solution for high-precision machining tasks. With growing citation impact, Sun’s research continues to influence the development of adaptive force control systems in robotics and automated manufacturing.