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@yukez
Associate Professor @UTCompSci | Director @NVIDIAAI Co-Leading GEAR | CS PhD @Stanford | Building generalist robot autonomy in the wild | Opinions are my own
AI
The keynote speaker argues that human data is by far the most scalable training source for robot foundation models and that world models can absorb multimodal data to help generalize robot policies.
