Baiyu Li

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About

Baiyu Li is an emerging researcher specializing in multi-agent systems, autonomous robotics, and warehouse automation. Their work sits at the intersection of artificial intelligence and real-world logistics, tackling complex coordination challenges faced by modern robotic systems in large-scale industrial environments. Li's most notable contribution is the formulation of Double-Deck Multi-Agent Pickup and Delivery (DD-MAPD), a novel problem framework that advances the state of the art in multi-robot shelf rearrangement for automated warehouses. By extending foundational paradigms in Multi-Agent Pickup and Delivery (MAPD) and Multi-Agent Path Finding (MAPF), Li's work enables agents to operate with greater flexibility and realism than prior models allowed — a meaningful step toward practical deployment of autonomous warehouse systems. This contribution has already garnered 29 citations since its 2023 publication, a strong indicator of early impact within a competitive research community. Li's research addresses one of the most pressing challenges in robotics: coordinating large numbers of agents efficiently without collision or deadlock in dynamic environments. For students and researchers working in robotics, operations research, or AI planning, Li's work offers both rigorous theoretical foundations and direct applicability to real-world automation problems.