Robotic Pushing
Introduced by Finn et al. in Unsupervised Learning for Physical Interaction through Video Prediction
The Robotic Pushing Dataset is a dataset for video prediction for real-world interactive agents which consists of 59,000 robot interactions involving pushing motions, including a test set with novel objects. In this dataset, accurate prediction of videos conditioned on the robot's future actions amounts to learning a "visual imagination" of different futures based on different courses of action.
Papers
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