A robot policy trained on corrupted RGB plus uncorrupted depth maps kept 82-88% success from near-dark to very bright camera exposures, where baseline imitation learning collapsed.
Emerg- ing properties in self-supervised vision transformers, 2021
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Spatially Visual Perception for End-to-End Robotic Learning
A robot policy trained on corrupted RGB plus uncorrupted depth maps kept 82-88% success from near-dark to very bright camera exposures, where baseline imitation learning collapsed.