Xiaojing Fan

Papers

Total Citations

H-Index

About

Xiaojing Fan is a robotics researcher whose work focuses on intelligent autonomous systems for hazardous environments, particularly in fire protection and disaster response. Her most cited paper, "A Fire Protection Robot System Based on SLAM Localization and Fire Source Identification" (2019, 11 citations), presents a novel integration of the Gmapping SLAM algorithm with fire source detection, enabling robots to navigate smoke-filled, high-temperature, and oxygen-deprived environments while autonomously identifying and extinguishing fires. This work addresses a critical need in emergency robotics: replacing human rescuers in life-threatening scenarios to reduce casualties. Fan's contributions lie at the intersection of simultaneous localization and mapping (SLAM), sensor fusion, and real-time environmental perception. By combining robust localization with targeted fire identification, her system enhances robot autonomy in unstructured, dangerous settings. While her citation count reflects a focused, emerging body of work, the practical significance of her research—saving lives through robotic intervention—underscores its potential for broader impact. Fan's approach exemplifies how SLAM-based navigation can be adapted for specialized rescue missions, offering a blueprint for future developments in safety robotics.