Yung-Fu Hsu

Papers

Total Citations

H-Index

About

Yung-Fu Hsu’s research centers on robotics, automation, and intelligent navigation systems, with a focus on developing practical algorithms for real-world applications. His most cited work, “An Improved Minimum-Cost Pathfinding Algorithm for Mobile Robot Navigation” (2013, 7 citations), advances the classic A* algorithm by integrating obstacle avoidance using passive RFID tags placed on Cartesian grids. This contribution enhances the efficiency and safety of autonomous robot movement in structured environments, offering a cost-effective solution for mobile robot guidance. Earlier, Hsu tackled complex manufacturing challenges in “Fully automated two-robot assembly cell” (2002, 5 citations), where he formulated a scheduling algorithm enabling a dual-robot cell to handle multiple assembly tasks with high repeatability. This work addressed critical issues in flexible automation, allowing cells to process diverse product types efficiently. Though his citation counts reflect a focused, niche impact, Hsu’s contributions bridge theoretical pathfinding and practical robotics, demonstrating how algorithmic innovation can solve tangible problems in navigation and assembly automation. His research remains relevant for engineers and researchers developing autonomous systems and smart manufacturing solutions.