RT-1: Robotics Transformer for Real-World Control at Scale
Google Research AI blog
DECEMBER 13, 2022
camera images, task instructions, and motor commands) to enable efficient inference at runtime, which makes real-time control feasible. A second factor is the lack of expressive, scalable, and fast-enough-for-real-time-inference models that can learn from such datasets and generalize effectively.
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