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CAT redefines traversability estimation by embedding robot-specific constraints directly into the spatial feature space, leading to significant performance gains in real-world applications.
Latent planning in LeCropFollow reduces semantic failures by 2.4x in challenging agricultural environments, outperforming traditional geometric approaches.