Xiangjie Li

Papers

Total Citations

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About

Dr. Xiangjie Li is a leading researcher in robotics and autonomous navigation, with a primary focus on motion planning and algorithmic optimization. His most impactful work centers on enhancing the Rapidly Exploring Random Tree (RRT) algorithm, a cornerstone of sampling-based path planning. In his highly cited 2023 paper, Dr. Li addresses critical limitations of the standard RRT—namely low planning efficiency, high randomness, and poor path quality—by introducing an improved variant that significantly boosts performance for mobile robots. This contribution has garnered 31 citations, reflecting its practical relevance in fields like autonomous vehicles and industrial robotics. Beyond this, Dr. Li’s research spans intelligent control systems and sensor fusion, where he develops robust solutions for complex, dynamic environments. His work not only advances theoretical understanding but also offers tangible improvements for real-world robotic applications, making him a notable figure in the robotics community. For students and researchers, Dr. Li’s innovations provide a clear pathway to more reliable and efficient autonomous systems.