@svlevine: Learning from suboptimal data is important, because robots make suboptimal data on their own, and the more robots there…
Summary
Sergey Levine highlights the importance of learning from suboptimal robot data and promotes OopsieData, a community effort to collect and open-source the abundant but underused failed robot interaction clips.
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Cached at: 07/31/26, 06:47 AM
Learning from suboptimal data is important, because robots make suboptimal data on their own, and the more robots there are, the more data they make. If you want to contribute to building a public, open dataset of suboptimal data, check this out!
Paul Zhou (@zhiyuan_zhou_): This is a robot failing to grasp a ball. Almost every robot lab produces clips like this daily… and almost all of them get thrown away. This is the most abundant but underused resource in robot learning. We’re collecting all of it now as ✨OopsieData✨, please join us!
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