Real-to-sim-to-real pipelines solve robot data bottlenecks
The argument presented is that real-to-sim-to-real simulation pipelines provide the counterfactual reasoning, reliability, and speed-up necessary to scale robotic policy training and evaluation beyond real-world data collection capabilities.
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