Pantheon

Robotics research & deployment.

[Pantheon @PantheonInc]

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.

[calix @calixo888]

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 🧵

[Pantheon @PantheonInc]

Read the full report: https://t.co/H6ESju1ICM.

We're hiring for robotics foundation model research, software, data, and hardware engineering. We're also open to data collaborations.

[Pantheon @PantheonInc]

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.

[calix @calixo888]

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 🧵

[calix @calixo888]

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 🧵