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We consider the problem of robotic grasping using depth + RGB information sampling from a real sensor. we design an encoder-decoder neural network to predict grasp policy in real time.

Our proposed U-Grasping fully convolutional neural network (UGNet) predicts the quality and the pose of grasp in pixel-wise.