Papers
1
Total Citations
14
H-Index
1
About
Shun Xing is a researcher in robotics and autonomous navigation, with a focus on developing efficient and adaptive path-planning algorithms. His most-cited work, "Research on robot path planning by integrating state-based decision-making A* algorithm and inertial dynamic window approach" (2024), has already garnered 14 citations, reflecting its timely impact on the field. Xing’s major contribution lies in fusing the A* algorithm’s global search capabilities with the Dynamic Window Approach’s local obstacle avoidance, enhanced by state-based decision-making and inertial dynamics. This hybrid method improves both computational efficiency and trajectory smoothness, addressing key challenges in real-time robot navigation. His work is notable for bridging theoretical optimization with practical deployment, offering a robust solution for autonomous systems in dynamic environments. Xing’s research is particularly relevant for students and engineers working on mobile robots, drones, or autonomous vehicles, as it provides a scalable framework for safe and efficient path planning. With his innovative integration of classical and modern techniques, Xing is advancing the next generation of intelligent navigation systems.
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