Editorial standards

Contents

1. Accuracy first
2. Research results are not promises
3. Vendor figures are labeled
4. Worked examples are marked as such
5. Trademarks
6. How we use AI tools
7. Corrections

Accuracy first

Every factual claim links to a source we opened, with the access date. If we cannot verify something, we leave it out or say it is not published. A specific, dated figure is preferred to a general impression.

Research results are not promises

Success rates and demonstration counts from papers describe one robot, one task and one lab. We report them as research results and do not present them as what a reader should expect.

Vendor figures are labeled

Prices, throughput and volume figures that a company reports about itself are attributed to that company. We never present them as independent measurements.

Worked examples are marked as such

Where a page combines sourced inputs into a calculation, it states the assumptions and shows the arithmetic, so the reader can replace our inputs with their own.

Trademarks

Product and company names are used only to identify the products discussed. This site is independent of the makers it names and carries none of their logos.

How we use AI tools

We use AI tools to help with research and drafting. Every factual claim is checked against the source it cites before publication, and the sources are listed on every page.

Corrections

If a fact is wrong or out of date, tell us. We fix verified errors quickly, update the page's date and record the change in its log.

Further reading

• Guide · Throughput and qualityEpisodes per hour and quality checks in teleoperation data collectionTwo numbers decide what a dataset costs: how many episodes an operator records in an hour and how many of them pass. What published collections report on both.
• Guide · StaffingIn-house or hired teleoperators for data collection: the costs comparedOnce the rig works, the operator is most of the cost. The published pay ranges, the true employer cost, the published prices for hired collection and a way to compare them.
• Guide · FormatsRobot data formats compared: LeRobot, RLDS, HDF5 and MCAPThe format decides whether the training job can read what the operators recorded. What each of the four common formats stores, from its own documentation.