GOAG Enables Object-Agnostic Dexterous Grasping via Latent Surface Learning

GOAG is a deep generative model that learns a compact latent representation of a gripper's contact surface distribution. By introducing object features only at inference time, the model enables efficient, valid grasp sampling without requiring object-specific training data.