Summary
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Warehouse automation is shifting from proof-of-concept to production-scale deployment in 2026, according to a new roundup of AI-powered warehouse robots. Systems now span autonomous mobile robots, robotic arms with computer vision, and goods-to-person fulfillment, using machine learning to adapt to unstructured environments. The intelligence layer is enabling real-time decision-making, improving inventory accuracy through continuous cycle counting, and reshaping human-robot workflows as distribution centers scale automation ahead of peak season.