Xue Zheng

Papers

Total Citations

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About

Xue Zheng is a researcher focused on advancing autonomous navigation and path planning for mobile robots, with particular expertise in collision avoidance and algorithmic optimization. Their most cited work, "Improved JPS Algorithm Using New Jump Point for Path Planning of Mobile Robot" (2019, 26 citations), introduces the SD-JPS algorithm—a novel jump point search method that incorporates safe distance constraints to address robot collisions in complex environments caused by control errors, positioning inaccuracies, or robot dimensions. By redefining the jump point and enhancing the traditional JPS framework, Zheng’s contribution directly tackles critical safety and reliability challenges in real-world robotic systems. This work has been influential in the field of intelligent robotics, providing a practical foundation for more robust path planning. Zheng’s research demonstrates a strong commitment to bridging theoretical algorithm design with tangible applications, making their work essential reading for students and researchers interested in autonomous systems, mobile robotics, and safe navigation strategies.