Xuanxuan Yan

Anhui University of Science and Technology

Papers

Total Citations

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About

Xuanxuan Yan is a researcher focused on intelligent automation and scheduling in underground mining environments, with particular emphasis on electric locomotive and transportation robotics. Their major contributions lie in developing optimization strategies that address the unique challenges of complex geological coal mines, including multi-objective scheduling under three-dimensional loading constraints. Yan’s work bridges the gap between theoretical scheduling models and practical deployment, aiming to reduce human labor intensity while improving distribution efficiency and system automation. Their 2021 paper on intelligent scheduling for electric locomotive robots (6 citations) established foundational models for track-based automation, while the 2023 study on multi-objective scheduling with loading constraints (4 citations) extended this work to full-mine material distribution. Though early in their career, Yan’s research is notable for tackling real-world industrial bottlenecks—such as low intelligent distribution and high operational risk—through mathematically rigorous yet implementable solutions. Their work is particularly relevant for researchers in mining robotics, operations research, and industrial IoT, offering a pathway toward fully autonomous underground logistics.