Study Finds Robot Training Data Curation Only Helps With Specific Error Types

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A study tested whether removing bad data helps train robot control policies. It found that data with completely wrong instructions or labels harmed performance, and removing it was beneficial. However, data from failed but sensible attempts or simple sensory noise did not require curation. The research concluded that data curation is not universally useful and depends on the specific type of error present.

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