Zeya Zhu

Papers

Total Citations

H-Index

About

Zeya Zhu is a researcher in mobile robotics, specializing in path planning and autonomous navigation. Their most cited work, "Global Dynamic Path Planning Based on Fusion of A* Algorithm and Dynamic Window Approach" (2019, 37 citations), introduces a novel method that combines the global optimality of the A* algorithm with the real-time obstacle avoidance capabilities of the Dynamic Window Approach. This fusion significantly enhances mobile robots' ability to navigate dynamic environments, addressing a critical limitation of traditional static planners. Zhu's contribution lies in bridging global and local planning, enabling smoother, safer trajectories in unpredictable settings. The paper's citation count reflects its practical impact on robotics research and applications. Beyond this flagship work, Zhu continues to explore intelligent control and sensor integration, advancing the field of autonomous systems. Their research is particularly valuable for students and engineers developing robots for logistics, service, or industrial tasks, offering a robust framework for real-world navigation challenges.