An attribute-based grasp model, self-supervised on simple simulated blocks, reaches 81.7% real-world instance grasping success after one-grasp and adversarial adaptation.
Data-driven grasp synthesis—a survey,
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Attribute-Based Robotic Grasping with Data-Efficient Adaptation
An attribute-based grasp model, self-supervised on simple simulated blocks, reaches 81.7% real-world instance grasping success after one-grasp and adversarial adaptation.