ROPA: Synthetic Robot Pose Generation for RGB-D Bimanual Data Augmentation
arXiv:2509.19454v2 Announce Type: replace-cross
Abstract: Training robust bimanual manipulation policies via imitation learning requires demonstration data with broad coverage over robot poses, contacts, and scene contexts. However, collecting diverse…