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Pose6DAug: Physically Plausible Multi-View Object Swapping for Robot Data Augmentation
Pose6DAug augments robot training by swapping objects in successful episodes via 3D mesh pose trajectories, improving VLA success on novel objects by 16.5%.
Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5