Chuan-Yen Lu

Papers

Total Citations

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About

Chuan-Yen Lu is a robotics researcher whose work centers on the integration of autonomous navigation, sensor fusion, and computer vision for real-world applications, particularly in search and rescue operations. His most cited paper, “Application of Path Planning and Image Processing for Rescue Robots” (2021), demonstrates a practical approach to equipping wheeled mobile robots with differential GPS, laser sensors, and cameras for autonomous navigation in disaster scenarios. By combining path planning algorithms with real-time image processing, Lu’s work enables robots to detect obstacles, locate targets, and navigate complex environments without human intervention. Though his citation count is currently modest, his research addresses a critical gap in field robotics—bridging the gap between laboratory prototypes and deployable rescue systems. Lu’s contributions are especially relevant for students and engineers interested in low-cost, sensor-integrated robotic platforms. His work highlights the importance of multi-sensor fusion for robust autonomy and offers a scalable framework for future rescue robotics. As the demand for intelligent, responsive robots in emergency response grows, Lu’s foundational research provides a valuable stepping stone for advancing autonomous systems in high-stakes environments.