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Robot world models can now achieve 6.25% interaction defect rates, a 7-fold reduction, by training on counterfactual futures and a novel embodied video reward.
A novel framework that harmonizes semantic reasoning and predictive dynamics, achieving unprecedented performance in autonomous driving tasks.