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Strategic Transformer for Resource-Constrained Multi-Object Navigation in Ultra-Large-Scale Environments
Resource-constrained multi-object navigation in vast indoor environments ($>2,000\text{ m}^2$) poses significant challenges for efficiency and strategic planning. To tackle this, we reformulate the task as a Set Orienteering Problem (SOP), providing an optimization framework under resource constrain
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