Cunjun Xia
Papers
1
Total Citations
82
H-Index
1
About
Cunjun Xia is a researcher in intelligent robotics and autonomous navigation, with a focus on path planning and obstacle avoidance in dynamic, unstructured environments. Their most-cited work, a 2022 study on hybrid formation path planning, integrates A* search with a multi-target improved artificial potential field algorithm to achieve efficient, collision-free navigation in 2D random environments. This contribution addresses critical limitations of traditional methods, such as local minima and inefficient path smoothing, offering a robust solution for multi-agent systems. With over 80 citations, this paper has become a key reference for researchers working on formation control and real-time trajectory optimization. Xia’s work is notable for its practical applicability in fields like drone swarms, autonomous ground vehicles, and warehouse logistics, where reliable path planning under uncertainty is essential. By combining algorithmic innovation with real-world constraints, Cunjun Xia continues to advance the state of the art in autonomous navigation, providing foundational tools for both academic research and industrial deployment.
Research Focus
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Top Papers
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