Learning from Fleet Experience: A Collective Learning Paradigm for Robots
What this work does
Collective Experience Learning improves a shared robot policy using fleet-generated execution data after expert-supervised initialization. Failures identify relevant successful behavior to revisit, while an asynchronous system sustains collection and learning.
THE RESEARCH CONVERSATION
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