Papers
1
Total Citations
8
H-Index
1
About
Kuo-Hui Lin is a researcher specializing in mobile robotics, autonomous navigation, and 3D terrain modeling. His primary contributions lie in developing geometric and path-planning frameworks that enable robots to navigate complex, non-flat environments with greater safety and efficiency. In his most cited work, "Path Planning and Replanning for Mobile Robot Navigation on 3D Terrain: An Approach Based on Geodesic" (2016, 8 citations), Lin introduced a novel method that models 3D terrain as a smooth, complete manifold and treats hazardous regions as enclosing circles with tunable radii based on hazard grade. This approach allows for dynamic path replanning in the presence of obstacles, moving beyond traditional 2D grid-based methods. By leveraging geodesic principles, his work provides a mathematically rigorous foundation for real-time navigation in rugged, unstructured landscapes. Though early in citation impact, Lin’s research addresses a critical gap in field robotics—enabling autonomous systems to operate safely in environments like disaster zones, mining sites, or planetary surfaces. His work continues to influence researchers working on terrain-aware motion planning and manifold-based navigation algorithms.
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Top Papers
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