T. Gu

Papers

Total Citations

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About

T. Gu is a researcher focused on advancing automation and robotics in logistics, with key contributions to the optimization of autonomous mobile robots (AMRs) in digital-intelligent warehouses. Their work addresses critical challenges in task allocation for multi-AMR systems, including heavy handling demands, high computational complexity, and expansive solution spaces. Gu’s most-cited paper, "Task Allocation Algorithm and Simulation Analysis for Multiple AMRs in Digital‐Intelligent Warehouses" (2025), proposes novel algorithms to achieve stable, efficient, and balanced operation of AMR fleets for automated cargo handling. Though early in its citation impact with 2 citations, this work demonstrates Gu’s commitment to solving real-world industrial problems through simulation-driven analysis. Their research bridges theoretical algorithm design and practical warehouse automation, offering solutions that enhance throughput and reduce operational bottlenecks. Gu’s contributions are particularly notable for addressing scalability and real-time decision-making, critical for next-generation smart logistics. As a researcher, Gu is positioned at the intersection of robotics, artificial intelligence, and industrial engineering, with a clear trajectory toward shaping the future of autonomous material handling systems.