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ScaleNav: Internet Video Pretraining for Language-Conditioned Local Navigation

ScaleNav proposes a unified world-action framework that achieves language-conditioned local navigation through three-stage training: first, instruction-conditioned video pretraining on internet first-person videos to learn how observations evolve as the camera approaches a target; then, aligning predicted executable action chunks using action-labeled simulation data; and finally, jointly fine-tuning all trainable components.

Part of the event: ScaleNav Achieves Language-Conditioned Local Navigation via Internet Video Pretraining

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