Benxue Liu

Papers

Total Citations

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About

Benxue Liu is a robotics researcher whose work focuses on advancing autonomous navigation through intelligent path planning algorithms. His most-cited contribution, "Path planning of mobile robots based on improved RRT algorithm" (2022, 12 citations), addresses critical limitations in the widely used Rapidly-exploring Random Tree (RRT) method. Liu proposed a dynamic probability-based sampling strategy that significantly reduces computational time and improves sampling point efficiency, preventing robots from becoming trapped in local minima during navigation. This innovation has practical implications for real-time mobile robot deployment in complex environments. While his citation count is still growing, Liu’s work demonstrates a keen ability to refine foundational algorithms for greater robustness and speed—a hallmark of impactful engineering research. His contributions are particularly relevant for students and researchers in robotics, autonomous systems, and motion planning, offering a clear example of how targeted algorithmic improvements can enhance real-world robot performance.