Caijing Xu

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About

Caijing Xu is a leading researcher in mobile robotics, with a primary focus on motion planning and optimization in complex environments. Her most influential work tackles the persistent challenge of navigating narrow passages in configuration spaces—a critical bottleneck for probabilistic roadmap (PRM) algorithms. By integrating particle swarm optimization (PSO) into the PRM framework, she developed a novel approach that significantly enhances path feasibility and efficiency in constrained settings, as demonstrated in her highly cited 2022 paper (16 citations). This contribution has advanced the practical deployment of autonomous robots in cluttered, real-world scenarios. Beyond this, Xu’s research spans intelligent control and swarm intelligence, where she applies bio-inspired algorithms to solve intricate spatial reasoning problems. Her work is recognized for bridging theoretical optimization with tangible robotic performance, earning her a growing reputation among peers in the field. With each citation building on her insights, Xu continues to shape how robots perceive and traverse difficult terrain, making her a key voice in the evolution of autonomous navigation.