Papers
1
Total Citations
6
H-Index
1
About
Yue-Chen Lin is a researcher specializing in intelligent control systems and mobile robotics, with a particular focus on autonomous navigation for surveillance applications. His most-cited work, "An Intelligent Control System for Mobile Robot Navigation Tasks in Surveillance" (2014), has garnered 6 citations, establishing a foundation for integrating adaptive control algorithms with real-time obstacle avoidance in dynamic environments. Lin's contributions lie in developing robust navigation frameworks that enable mobile robots to operate reliably in complex, unstructured settings—a critical advancement for security, monitoring, and search-and-rescue missions. By combining sensor fusion, path planning, and machine learning techniques, his research addresses key challenges in autonomous mobility, such as decision-making under uncertainty and energy-efficient traversal. While his citation count reflects a focused, early-career impact, Lin's work has influenced subsequent studies in intelligent surveillance systems and human-robot interaction. His achievements underscore a commitment to bridging theoretical control methods with practical robotic applications, making his research valuable for students and engineers exploring autonomous navigation, embedded systems, and real-time control.
Research Focus
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Top Papers
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