Lanfang Dong

University of Science and Technology of China

Papers

Total Citations

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About

Lanfang Dong is a researcher advancing the frontier of intelligent robotics through multimodal perception and cognitive frameworks. Her work centers on equipping robots with the ability to seamlessly integrate visual, spatial, and semantic data, enabling them to operate with greater autonomy in complex, real-world environments. A standout contribution is her 2024 paper on a visual SLAM-based lightweight multi-modal semantic framework for intelligent substation robots, which has already garnered 11 citations—a strong indicator of its immediate relevance to the field. This work addresses critical challenges in industrial robotics, such as robust positioning and navigation in GPS-denied indoor settings, by fusing vSLAM with semantic understanding. Additionally, her 2022 study on a multimodal perception and cognition framework for social robots explores how machines can interpret and interact with human-centric spaces. Dong’s research bridges the gap between theoretical AI and practical deployment, offering scalable solutions for both industrial automation and human-robot interaction. Her growing citation record underscores her impact on shaping more intelligent, context-aware robotic systems.