Yuhao Zeng

Papers

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About

Yuhao Zeng is a prominent researcher in logistics automation and intelligent robotics, with a primary focus on multi-robot path planning and conflict resolution in warehouse environments. His most cited work, "Two-level vehicle path planning model for multi-warehouse robots with conflict solution strategies and improved ACO" (2023), has garnered 16 citations, reflecting its timely impact on the field. In this study, Zeng addresses critical challenges in warehouse robotics by systematically analyzing various travel conflicts and proposing a novel two-level path planning model that integrates an improved Ant Colony Optimization (ACO) algorithm. His major contribution lies in developing scalable, conflict-aware strategies that enhance the efficiency and safety of multi-robot systems in dynamic industrial settings. This work is particularly notable for its practical applicability in logistics and e-commerce fulfillment centers, where coordinated robot fleets are essential. Zeng’s research bridges the gap between theoretical optimization and real-world deployment, making him a key figure in advancing intelligent warehouse automation. His achievements underscore a commitment to solving complex operational problems, positioning him as an influential voice in robotics and supply chain innovation.