Xiang-nan Zhang

Papers

Total Citations

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About

Xiang-nan Zhang is a leading researcher in autonomous robotics, with a specialized focus on fire-fighting and emergency-response systems. His work centers on two critical challenges: optimal path planning and multi-sensor autonomous positioning for mobile robots in hazardous environments. In his highly cited 2020 paper, "Warehouse-Oriented Optimal Path Planning for Autonomous Mobile Fire-Fighting Robots" (23 citations), Zhang introduced an A*-based algorithm that minimizes travel time for fire-fighting robots in complex warehouse layouts, enabling faster, more efficient emergency interventions. Building on this, his 2021 study, "An autonomous positioning method for fire robots with multi-source sensors" (18 citations), developed a robust fusion framework that integrates data from multiple sensors—such as LiDAR, IMUs, and cameras—to achieve reliable self-localization even in smoke-obscured or GPS-denied conditions. These contributions are pivotal for advancing real-world deployment of autonomous fire robots, directly improving safety and response times in industrial and commercial settings. Zhang’s work has earned recognition for bridging theoretical robotics with practical, life-saving applications, making him a key figure in the evolution of intelligent emergency automation.