Xi Yingqi

Papers

Total Citations

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About

Xi Yingqi has made impactful contributions to the field of mobile robotics, with a primary focus on intelligent path planning and navigation in dynamic environments. Her most-cited work, a 2021 paper on a real-time dynamic path planning method that integrates the artificial potential field method with a biased target RRT algorithm, has garnered 18 citations—a strong indicator of its relevance and utility in the robotics community. This research addresses a critical challenge: improving the efficiency and effectiveness of path planning for robots operating in unpredictable, changing settings. By synergizing two established approaches, Yingqi’s algorithm enhances both computational speed and obstacle avoidance, offering a practical solution for autonomous systems. Her work stands out for its clear application to real-world scenarios, such as warehouse logistics or autonomous vehicles, where adaptability is key. Yingqi’s contributions reflect a deep understanding of algorithmic optimization and a commitment to bridging theoretical advances with tangible robotic performance, making her a promising voice in the ongoing evolution of intelligent motion planning.