Xu Yuanyuan

Papers

Total Citations

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About

Xu Yuanyuan is a researcher whose work centers on intelligent robotics, with a particular focus on autonomous navigation and obstacle avoidance for wheeled mobile robots operating in dynamic, unknown environments. Her most-cited paper, "Path Planning Obstacle Avoidance Algorithm Based on Wheeled Robot" (2020), addresses a fundamental challenge in indoor robotics: enabling robots to safely and efficiently navigate cluttered, unpredictable spaces. By developing dynamic path planning algorithms that allow robots to autonomously detect and circumvent obstacles in real time, Xu has contributed to the practical deployment of service and logistics robots in complex indoor settings. While her citation count is currently modest, her work lays critical groundwork for advancing robot autonomy in everyday environments. Xu’s research is especially relevant for students and engineers working on sensor integration, motion planning, and real-time control systems. Her contributions highlight the ongoing need for robust, adaptive algorithms that can handle the variability of real-world spaces—a key step toward making robots truly useful in homes, offices, and hospitals.