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OMAR: Open-World Multi-Attribute Reasoning for Scene-Conditioned Shelf Organization
With the advent of foundation models, robots are increasingly capable of understanding and executing explicitly specified human tasks. Extending these capabilities to open-ended tasks, however, requires robots to infer appropriate actions from the observed scene. Household organization exemplifies t
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