Xiangrui Ren

Papers

Total Citations

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About

Xiangrui Ren is an emerging researcher in the field of mobile robotics and autonomous navigation, with a primary focus on path planning algorithms for both mobile robots and robotic arms. Ren’s major contributions center on enhancing the efficiency and smoothness of traditional pathfinding methods. In their most-cited work, Ren proposed a novel fusion of the A* algorithm with Jump Point Search (JPS), addressing critical issues of high memory consumption and slow computation in mobile robot path planning. This work has garnered early recognition with 2 citations. More recently, Ren tackled the RRT-Connect algorithm’s limitations—long search times and unsmooth paths—by introducing the DAPF-RRT algorithm, which integrates dynamic step sizes with artificial potential fields for robotic arm applications. Though early in their career, Ren’s work demonstrates a clear trajectory toward solving real-world robotics challenges, with both papers published in 2024–2025. Their research is particularly relevant for students and engineers working on autonomous systems, offering practical improvements to foundational algorithms. Ren’s contributions are poised to influence more efficient and reliable robotic navigation in complex environments.