Manni Zeng

Papers

Total Citations

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About

Manni Zeng is a researcher specializing in intelligent robotics and autonomous navigation, with a particular focus on path planning in complex, dynamic environments. Their most cited work, "Robot navigation based on improved A* algorithm in dynamic environment" (2021, 16 citations), introduces a novel enhancement to the traditional A* algorithm that enables robots to efficiently navigate around moving obstacles. By optimizing both path optimality and computational speed, Zeng’s method significantly reduces running time while maintaining safe, collision-free routes—a critical advancement for real-world applications like warehouse logistics, autonomous vehicles, and service robotics. This contribution addresses a longstanding challenge in mobile robotics: balancing real-time responsiveness with path efficiency in unpredictable settings. Zeng’s research bridges theoretical algorithm design and practical deployment, offering a scalable solution for dynamic environments. Their work has been recognized for its practical impact, providing a foundation for further studies in adaptive navigation systems. As a rising voice in intelligent systems, Manni Zeng continues to explore how computational efficiency and environmental awareness can be harmonized to advance autonomous robot performance.