Jialun Li

Papers

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About

Jialun Li is a researcher specializing in robotics, autonomous navigation, and dynamic motion planning. Their most cited work, "Moving Target Interception Considering Dynamic Environment" (2022, 13 citations), tackles the challenging problem of enabling wheeled mobile robots to intercept moving targets in unpredictable settings. Li’s key contribution lies in developing a predictive algorithm that uses polynomial fitting to forecast a target’s future position, allowing the robot to generate efficient interception trajectories in real time. This approach bridges the gap between static path planning and truly dynamic environments, offering practical solutions for applications in surveillance, autonomous delivery, and search-and-rescue operations. While early in their career, Li’s work has already garnered attention for its clarity and direct applicability, laying a strong foundation for future advances in reactive robotics and intelligent motion control.