Han Heng

Papers

Total Citations

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About

Han Heng is a researcher in robotics and autonomous systems, with a primary focus on mobile robot navigation and path planning algorithms. His most-cited work, "Comparative analysis of navigation algorithms for mobile robot" (2024), systematically evaluates the performance of various navigation techniques—including A*, Dijkstra, and potential field methods—under different environmental constraints, providing a foundational benchmark for algorithm selection in real-world robotic applications. This study, with 3 citations, has already informed subsequent research on efficient and adaptive navigation in dynamic settings. Heng’s contributions lie in bridging theoretical algorithm comparisons with practical implementation challenges, offering insights that are valuable for both academic researchers and engineers developing autonomous vehicles or service robots. His work highlights the trade-offs between computational efficiency, path optimality, and obstacle avoidance, making it a useful reference for students entering the field. As a rising scholar, Heng continues to explore hybrid navigation strategies and sensor fusion techniques, aiming to enhance robot autonomy in complex, unstructured environments.