Tingrui Liu

Shandong University of Science and Technology

Papers

Total Citations

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About

Tingrui Liu’s research centers on the stability and precision control of robotic systems, with a particular focus on transport robots and manipulator dynamics. In his most cited work, “Stability Control of Transport Robot Based on Iterative Learning Control” (2022), Liu addresses a critical challenge in robotics: maintaining stability during the transport process when a 2R manipulator is in motion. By leveraging iterative learning control (ILC), he develops a framework that uses joint positions, speeds, and accelerations to model and regulate driving torques, enabling the robot to adapt and improve its performance over repeated tasks. This contribution is foundational for applications in automated logistics and industrial handling, where load stability is paramount. With 3 citations, this work has already sparked interest among researchers in adaptive control and robotics. Liu’s approach demonstrates a practical synthesis of control theory and real-world robotic challenges, positioning him as an emerging voice in the field. His ongoing work promises to advance the reliability of autonomous transport systems in dynamic environments.