Ji Ge

Papers

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About

Ji Ge is a leading figure in the field of robotic control systems, with a primary focus on adaptive and iterative learning control for robot manipulators. His most cited work, "An Adaptive Iterative Learning Control for Robot Manipulator in Task Space" (2014, 21 citations), introduces a pioneering control scheme that combines a PD controller with a gain switching technique and a learning feedforward term. This approach enables uncertain robot manipulators to achieve precise trajectory tracking in task space during iterative operations, significantly advancing the reliability and efficiency of robotic systems in repetitive tasks. Ge’s contributions are particularly impactful in industrial automation and robotics, where his methods improve performance without requiring exact system models. His research has garnered attention for its practical applicability, earning citations from scholars working on adaptive control, nonlinear systems, and robotic dynamics. By addressing key challenges in uncertain environments, Ji Ge has established himself as a notable innovator in control theory, offering solutions that bridge theoretical rigor and real-world robotic applications.