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GIF: Agentic Generation of Interactive and Functional Object Compositions for Robot Learning
Robot manipulation foundation models require scalable evaluation and data generation across diverse scenarios, with simulation providing an environment for both. Automated scene generation offers a promising path, yet prior work has largely emphasized coarse-grained scene layouts rather than fine-gr
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