Dimensions overall score 8.0

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• STEP achieves a 44% reduction in operational time without compromising packing density.result 90%
• STEP uses a preference-conditioned, Transformer-based reinforcement learning policy.method 90%
• STEP allows generalization across candidate set sizes and integration with standard placement modules.technical 85%
• Current robotic bin packing systems must balance compact placement with rapid execution.technical 80%
• Selecting alternative items or reorienting them can improve space utilization but introduce additional time.technical 80%
• STEP uses a selection-based formulation that explicitly reasons over the space-time trade-off.method 85%
• At each step, STEP evaluates multiple candidate actions, weighing expected packing benefit against estimated operational time.method 85%
• Robotic bin packing is widely deployed in warehouse automation.market 80%

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