Yulin Lu

Papers

Total Citations

H-Index

About

Yulin Lu is a researcher in robotics and computer vision, with a focus on enhancing the autonomy and safety of mobile patrol robots. Their key contributions lie in developing intelligent camouflage strategies for robots operating in hazardous environments, particularly those involving human threats. In their most cited work, "A SLIC based camouflage region selection method for mobile patrol robots" (2022, 3 citations), Lu proposed a novel approach that leverages the Simple Linear Iterative Clustering (SLIC) algorithm to segment scenes based on color, texture, and spatial features. This method enables patrol robots to autonomously identify and move to hiding regions, thereby protecting themselves from potential damage by criminals. While the citation count is modest, the work addresses a critical gap in robotic security—blending stealth with mobility. Lu’s research bridges practical robotics and visual perception, offering a foundation for future studies in adaptive robot concealment and human-robot interaction in adversarial settings.