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The article describes a new model capable of generalizing across thirty different home environments without task-specific training, representing a significant advancement in few-shot learning capabilities for embodied AI agents. This development directly addresses the challenge of deploying autonomous systems in diverse, unstructured real-world settings rather than controlled lab environments.
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Helix 2.5: Zero-Shot 30-Home Generalization
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Helix 2.5: Zero-Shot 30-Home Generalization Figure
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