Zimu Zhou

Singapore Management University, City University of Hong Kong

Papers

Total Citations

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About

Zimu Zhou is a leading researcher in the field of robotic logistics and warehouse automation, with a primary focus on task planning and route optimization for multi-robot systems. His work addresses the critical challenges of efficiently coordinating large-scale robot fleets in e-commerce warehouses, where millions of items must be distributed automatically. Zhou’s major contributions include developing adaptive task planning algorithms that optimize the delivery of racks to pickers, significantly improving throughput in high-demand environments. He also introduced a novel strip-based framework for collision-aware route planning, which makes the computationally complex problem of avoiding robot collisions both scalable and efficient. This work is foundational for reducing operational costs in modern fulfillment centers. While his most cited paper, “Adaptive Task Planning for Large-Scale Robotized Warehouses” (2022), has garnered 13 citations, his subsequent research on collision-aware routing (2023) represents a key methodological advance. Zhou’s research is highly relevant for students and engineers working at the intersection of robotics, operations research, and industrial engineering, offering practical solutions for the next generation of automated warehouses.