Xunding Pan
Papers
1
Total Citations
1
H-Index
1
About
Xunding Pan is a researcher in robotics and autonomous navigation, with a primary focus on indoor path planning and map optimization. Their most cited work, "Research on global path planning algorithm based on indoor map partition preprocessing" (2025), introduces a novel approach that preprocesses large indoor maps by partitioning them into manageable segments, significantly improving the efficiency and accuracy of global path planning for mobile robots. This contribution addresses a critical bottleneck in real-time navigation systems, where computational overhead often limits performance in complex environments. While still early in their career, Pan’s work has already garnered attention, with the paper cited once, signaling growing interest from peers in robotics and artificial intelligence. Their research bridges the gap between theoretical algorithms and practical deployment, offering a scalable solution for applications in warehouse logistics, service robots, and smart building navigation. Pan’s dedication to refining path planning methodologies positions them as an emerging voice in the field, with potential to influence future advances in autonomous systems.
Research Focus
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Top Papers
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