Shining Li

Papers

Total Citations

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About

Shining Li is a researcher focused on advancing robotic control systems for manufacturing and rehabilitation applications. Her work centers on two key areas: precision force control in industrial robotics and adaptive control strategies for wearable exoskeletons. In her most cited work, "Force tracking control of grinding end effector based on backstepping + PID" (2021, 23 citations), Li developed a novel hybrid control strategy that combines backstepping control with proportional-integral-derivative (PID) to achieve constant-force grinding for automobile wheel hub manufacturing—a critical challenge in automated surface finishing. This approach demonstrates how classical control methods can be integrated to solve real-world industrial precision problems. Li has also contributed to rehabilitation robotics with her work on "Trajectory control of lower limb exoskeleton robot with variable forgetting factor" (2016, 6 citations), where she designed an iterative learning control algorithm with adaptive forgetting factors to improve the robustness and convergence speed of exoskeleton trajectory tracking. Her research bridges the gap between theoretical control design and practical robotic implementation, offering solutions that enhance both manufacturing quality and assistive device performance.