AIBullisharXiv – CS AI · 10h ago6/10
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Omni-scale Learning-based Sequential Decision Framework for Order Fulfillment of Tote-handling Robotic Systems
Researchers propose OLSF-TRS, a machine learning framework combining reinforcement learning with combinatorial optimization to improve order fulfillment decisions in tote-handling robotic systems used across e-commerce and logistics. The system achieves near-optimal performance on small-scale deployments and reduces tote movements by 8-12% in large-scale scenarios compared to existing heuristic approaches.