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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.
MobileWAM achieves superior mobile manipulation performance by seamlessly integrating foresight into action planning, outpacing state-of-the-art methods.
By predicting latent features instead of pixels, PROSPECT achieves state-of-the-art VLN performance and long-horizon robustness without adding inference overhead.
