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A unified architecture achieves SOTA embodied AI by jointly learning physical reasoning, world generation, and action prediction, outperforming prior models in generalization and long-horizon tasks.
Kilobar-level electrohydraulic shock waves can be accurately captured via local enthalpy augmentation, enabling predictable, distributed rock microcracking without the environmental footprint of conventional hydraulic fracturing.
Transforming VLN-CE into a hierarchical framework allows agents to navigate unseen environments more efficiently, achieving state-of-the-art results.