Yanwen Zhu

University of Science and Technology Beijing

Papers

Total Citations

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About

Yanwen Zhu is a leading researcher in intelligent tunnelling and underground construction, with a focus on advancing automation and real-time data processing for deep-buried long tunnels. Their most-cited work, "Intelligent tunnelling robot system for deep-buried long tunnels" (2023, 8 citations), addresses critical shortcomings in traditional tunnel boring machine (TBM) operations, such as limited information perception, delayed data transmission, and inefficient storage systems. By proposing an integrated robotic system that enhances real-time sensing and intelligent data processing, Zhu’s contributions directly improve construction safety, efficiency, and decision-making in complex underground environments. This work has garnered attention for its potential to transform deep tunnel engineering, a field where timely and accurate information is paramount. Zhu’s research bridges robotics, civil engineering, and artificial intelligence, offering practical solutions to longstanding industry challenges. Their achievements underscore a commitment to pushing the boundaries of automated construction, making them a notable figure in the evolution of smart tunnelling technologies.