Xingning Zhang

Aviation Industry Corporation of China (China)

Papers

Total Citations

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About

Xingning Zhang is a researcher focused on advancing autonomous navigation and path planning for mobile robots, with a particular emphasis on optimizing algorithmic efficiency in real-world environments. Their most-cited work, "Path Planning of Mobile Robot Based on Improved A* Algorithm" (2022, 12 citations), addresses critical limitations of the traditional A* algorithm, including excessive expansion nodes, prolonged search times, and overly convoluted paths. By introducing refinements that reduce turning point nodes and streamline route calculations, Zhang’s contribution directly enhances the practicality of robot navigation in complex settings—a key challenge in robotics and automation. This work has garnered attention for its potential to improve autonomous systems in logistics, manufacturing, and service robotics. While early in their career, Zhang’s targeted improvements to a foundational algorithm demonstrate a clear ability to identify and solve pressing engineering problems, laying groundwork for more efficient, reliable mobile robot operations. Their research continues to influence peers exploring heuristic-based path optimization.