Yuh-Chung Lin

Papers

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About

Yuh-Chung Lin is a researcher in robotics and embedded systems, with a focus on autonomous navigation and intelligent control. Their most-cited work, "Shortest Distance Maze Solving Robot" (2020, 6 citations), introduces a low-cost, compact intelligent robot that operates without human assistance by integrating wall-tracking and flood-filling algorithms. This contribution demonstrates a practical approach to autonomous pathfinding, combining software programming with hardware execution to achieve efficient maze-solving capabilities. Lin’s work highlights the potential of small-scale robotics for educational and industrial applications, where cost-effective automation is critical. While still early in their career, this study serves as a foundational step in developing autonomous systems that can navigate complex environments. Lin’s research bridges algorithm design and real-world implementation, offering a scalable model for future intelligent robots. Their work is particularly relevant for students and researchers interested in robotics, embedded systems, and autonomous navigation, showcasing how simple yet effective algorithms can solve complex spatial problems.