How Much Data Robot Foundation Models Are Trained On: Hours, Teleoperation and Human Video

How it was measured

Developers' papers, model cards and announcements, and reporting by major outlets where a developer has not published, each linked with a verbatim quote kept in the dataset. Each row carries a link to its publication and gives the number exactly as published, with no estimates or conversions. A note under every figure says what it covers.

Foundation model

A large model trained on data from many tasks and robots, then adapted to new ones; vision-language-action (VLA) models are the common kind.

Teleoperation data

Recordings of people steering robots remotely or in VR, the work this site's teleoperation listings pay for.

Limits of this data

• Built only from public sources. Anything never announced or reported is absent, and private-company figures are whatever the company or the press said, unaudited.
• Developers count data differently (robot hours, human video hours, episodes, simulated trajectories), so figures are not compared one to one.
• Many developers disclose little about their data; a missing figure means it is not public.

Collection and classification of listings are explained on the methodology page. Freshness, completeness and consistency are tested daily in the data quality report.

Monthly editions

The live page shows the dataset as of its latest review, and new events join it once they are made public. Every finished month also gets its own edition, locked two days after month end, so a number quoted from it stays fixed.

• Live pageLatest review
• October 2026 edition (you are here)Will lock when the next daily refresh runs

Quoting this report

You may quote, chart or republish these figures under CC BY 4.0, provided you link back to this page. This edition is locked: its numbers will not change.

@misc{robottrainingjobs_robot_foundation_model_training_data_2026_10,
  author = {{RobotTraining.jobs}},
  title = {How Much Data Robot Foundation Models Are Trained On: Hours, Teleoperation and Human Video, October 2026 edition},
  year = {2026},
  howpublished = {\url{https://robottraining.jobs/research/robot-foundation-model-training-data/2026-10}},
}

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