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Synthetic Data for Embodied AI and Robotics

Robotics suffers from a lack of high-quality, diverse training data. Marble can synthesize realistic 3-D environments, providing a middle ground between scarce real-world recordings and uncontrolled internet video. By generating controllable scenarios, researchers can train agents that transfer to real robots more effectively.

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#synthetic-data — MemCast