Xuping Jiang

Papers

Total Citations

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About

Xuping Jiang is a researcher in robotics and computer vision, with a focus on enhancing the safety and operational effectiveness of mobile patrol robots. Their most notable contribution is a novel camouflage region selection method, published in 2022, which addresses the critical challenge of protecting patrol robots in hazardous environments where they risk damage from adversarial actors. This work leverages the Simple Linear Iterative Clustering (SLIC) algorithm to segment scenes based on color, texture, and spatial features, enabling robots to autonomously identify optimal hiding locations. While the paper has garnered 3 citations to date, its practical implications for field robotics and security applications are significant, offering a creative solution to robot survivability. Jiang’s research sits at the intersection of autonomous navigation and visual perception, contributing to the development of more resilient robotic systems capable of operating in dangerous, unstructured settings.