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About

Kun-Lin Wu is a robotics researcher whose work centers on intelligent mobile robot navigation, with a particular emphasis on path planning in complex environments. His major contributions bridge theoretical geometry and practical control systems, addressing both 2D indoor surveillance and challenging 3D terrain navigation. Wu’s most cited work, "Path Planning and Replanning for Mobile Robot Navigation on 3D Terrain: An Approach Based on Geodesic" (2016, 8 citations), introduces a novel method for modeling hazardous regions on smooth, manifold-like surfaces, using geodesic equations to compute the shortest safe path. This foundational approach is extended in his 2014 paper on "3D path planning based on nonlinear geodesic equation" (4 citations). Complementing these theoretical advances, Wu has also developed applied systems for indoor surveillance, including a wall-following and human detection robot using type-2 fuzzy logic control (2014, 7 citations). His work demonstrates a unique ability to translate abstract differential geometry into functional robotic solutions, impacting fields from autonomous navigation to security. With a total of 25 citations across his top papers, Wu’s research offers a compelling model for students interested in the intersection of mathematics, control theory, and real-world robotics.