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Samsung team proposes ε4P: using imperfect data to improve high-precision robotic manipulation
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The Samsung RX Lab-China team proposes ε4P (Imperfection for Precision), which admits imperfect data into different noise intervals of flow matching according to the type of data defect, thereby turning data that is harmful when mixed directly into training into a performance gain.
Part of the event: Samsung proposes ε4P: training robot policies with imperfect data
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