Yingnan Zhang

Papers

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About

Yingnan Zhang is a researcher specializing in robotics and autonomous navigation for extreme environments, with a particular focus on underground disaster response. Her key research areas include multi-sensor fusion, localization algorithms, and robotic systems designed for coal mine rescue operations. Zhang’s most notable contribution is her work on developing robust positioning systems that integrate lidar, inertial measurement units (IMUs), and wheel encoders to overcome the challenges of poor illumination and slippery terrain in catastrophic underground settings. Her 2021 paper, "Localization of coal mine rescue robots based on multi-sensor fusion," has garnered 4 citations, reflecting its relevance in the niche but critical field of mine safety robotics. This work addresses a pressing real-world problem: enabling rescue robots to navigate reliably in environments where traditional sensors fail. Zhang’s research stands out for its practical application in life-saving scenarios, offering a foundation for future advancements in autonomous systems for hazardous conditions. Her contributions are particularly valuable for students and engineers interested in sensor integration, field robotics, and the intersection of technology with emergency response.