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.
Diffusion policy: Visuomotor policy learning via action dif- fusion, 2024
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2024 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
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.