Supporting the robotics community is the only way to help improve data quality across the industry.
We're excited to be open-sourcing our infrastructure to help data companies, robotics labs, and individual developers improve their datasets.
Argus: an open-source robotics data annotation and quality pipeline.
With new frontier VLMs like GPT-6 Astra, we can generate rich, high-quality annotations for robotics data for both training and dataset analysis. Argus delivers detailed, timestamp-level annotations while catching issues like mislabeled instructions, sped-up recordings, swapped camera streams, and unflagged operator mistakes.
To support better data quality for the robotics community, we’re open-sourcing Argus for anyone to use 🧵
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Over the last two weeks, @sambhavgupta159 built a data quality pipeline for robotics data. It uncovered major, previously unreported problems in public datasets, especially for world modeling.
We're open-sourcing manifests for four of the most popular ones.
We (@PantheonInc) have been working on a robotics data quality pipeline that uncovered a series of major problems in public robotics datasets, especially for world modeling.
To improve the quality of data available to open-source robotics, we're publishing annotations for four of the most popular datasets. Some examples of issues, and our report 🧵
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Read the full report: pantheon.inc/research/we-loo….
We're hiring for robotics foundation model research, software, data, and hardware engineering. We're also open to data collaborations.
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Pantheon retweeted
We (@PantheonInc) have been working on a robotics data quality pipeline that uncovered a series of major problems in public robotics datasets, especially for world modeling.
To improve the quality of data available to open-source robotics, we're publishing annotations for four of the most popular datasets. Some examples of issues, and our report 🧵
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