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Physical robotics capabilities are advancing rapidly, but the lack of reliable training data and the difficulty of achieving consistent commercial performance are delaying the transition from demonstrations to practical use. Developers of embodied AI believe the path may run through specialized applications and better simulation environments before reaching a general-purpose robot capable of reliably performing tasks outside laboratories.