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Georgia Institute of Technology
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EgoEngine transforms human manipulation videos into actionable robot demonstrations, enabling zero-shot learning without real-world data.
Achieving robust sim-to-real transfer, this framework allows robots to learn dexterous skills directly from human videos, outperforming traditional methods.
Scaling robot learning with human data isn't a simple "more is better" equation; alignment with robot learning objectives is key.