Yu-Hsiang Lu

Papers

Total Citations

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About

Yu-Hsiang Lu is a robotics researcher specializing in autonomous navigation, path planning, and sensor integration for mobile robots operating in complex, real-world environments. His work centers on enhancing robot autonomy for outdoor patrol and rescue missions, leveraging differential global positioning systems (DGPS), laser sensors, and advanced algorithms. Lu’s most cited paper, "Application of Differential Global Positioning System and Path Planning to Robot Outdoor Patrol" (2018, 6 citations), introduces an improved A* algorithm that enables smooth obstacle avoidance and fixed-route patrol in unknown terrains, combining DGPS, encoders, and cameras for robust localization. In his follow-up work, "Application of Path Planning and Image Processing for Rescue Robots" (2021, 2 citations), he extends this framework to wheeled mobile robots for emergency response, integrating multi-sensor fusion to detect and navigate toward goal positions. Though early in his career, Lu’s contributions demonstrate a practical, systems-level approach to robotics, addressing critical challenges in precision positioning and adaptive pathfinding. His research holds promise for applications in security, disaster response, and autonomous logistics, marking him as an emerging voice in field robotics.