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Guava: Distilling Frontier VLMs into a Compact Agent through a Robotic Manipulation Harness
Language models trained on large-scale vision-language data have demonstrated strong potential for embodied agents. Harnessing models through embodied tools use offers a promising alternative to end-to-end vision-language-action systems by combining high-level reasoning with external modules for per
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