2026
ROPA: Synthetic Robot Pose Generation for RGB-D Bimanual Data Augmentation
ICRA 2026poster
Training robust bimanual manipulation policies via imitation learning requires demonstration data with broad coverage over robot poses, contacts, and scene contexts. However, collecting diverse and precise real-world demonstrations is costly and time-consuming, which hinders scalability. Prior works…