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AI-Powered Warehouse Robots: Industrial Case Studies in Autonomous Logistics

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This chapter from the STATERA Library's AMR AI and Embodied Intelligence series examines warehouse autonomous mobile robots (AMRs) as a leading example of successful industrial AI in logistics. It explains that growing e-commerce and just-in-time supply chains are pushing warehouses to raise throughput, reduce labor dependence, and improve safety, which fixed-path AGVs and conveyors struggle to do when layouts change. The text describes how AI-driven perception, SLAM-based localization, and adaptive path planning let robots respond to dynamic conditions in large fulfillment centers. It also covers fleet-level task allocation, demand forecasting, and AI-assisted inventory checks, along with human-robot collaboration techniques for safe coexistence with workers.

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