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OptCar achieves a 55% reduction in tracking error at high speeds across diverse terrains, outperforming traditional specialist models even with minimal real-world data.
Robots can boost their perceived competence by 83% simply by tweaking navigation behaviors suggested by a causal Bayesian network.