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Project Website for ROSIE
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RT-1: Robotics Transformer
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2026-02-04 05:29:43
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Scaling Robot Learning with Semantically Imagined Experience Scaling Robot Learning with Semantically Imagined Experience Tianhe Yu Ted Xiao Austin Stone Jonathan Tompson Anthony Brohan Su Wang Jaspiar Singh Clayton Tan Dee M Jodilyn Peralta Brian Ichter Karol Hausman Fei Xia Paper Video RSS 2023 We propose using text-guided diffusion models for data augmentation for robot learning. These augmentations can produce photorealistic images for learning downstream tasks such as manipulation. Abstract Recent advances in robot learning have shown promise in enabling robots to perform a variety of manipulation tasks and generalize to novel scenarios. One of the key contributing factors to this progress is the scale of robot data used to train the models. To obtain large-scale datasets, prior approaches have relied on either demonstratio...
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