FCBV-Net achieves superior category-level generalization for bimanual garment smoothing by conditioning value prediction on static pre-trained dense geometric features from point clouds, showing only 11.5% efficiency drop on unseen garments versus much larger drops in baselines.
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FCBV-Net: Category-Level Robotic Garment Smoothing via Feature-Conditioned Bimanual Value Prediction
FCBV-Net achieves superior category-level generalization for bimanual garment smoothing by conditioning value prediction on static pre-trained dense geometric features from point clouds, showing only 11.5% efficiency drop on unseen garments versus much larger drops in baselines.