Xueling Song

Hebei University of Science and Technology

Papers

Total Citations

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About

Dr. Xueling Song is a leading researcher in mobile robotics, with a primary focus on path planning and navigation in complex, dynamic environments. Her most cited work, "Research on mobile robot path planning in dynamic environment" (2017), addresses a critical limitation of the traditional artificial potential field method, which is designed for static settings. Dr. Song’s key contribution lies in extending this approach to handle moving targets and obstacles by incorporating relative position and velocity into the planning algorithm. This innovation enables robots to adapt in real time, significantly improving their safety and efficiency in real-world scenarios such as automated warehouses or autonomous vehicles. With over 6 citations, her foundational paper has influenced subsequent studies in adaptive navigation. Dr. Song’s work bridges the gap between theoretical control methods and practical deployment, making her a notable figure in the field of intelligent robotics. Her research continues to inspire engineers and students seeking robust solutions for autonomous systems operating in unpredictable environments.