Whole body is the new claim
Manipulation had datasets and benchmarks, so manipulation is what got solved. Balance, gait and contact did not, and they are what fails in a warehouse. The claim is well aimed and almost impossible to check.
Gemini Robotics 2 is described as bringing whole-body intelligence to robots.
The phrase names a real gap
Robot learning has been about a hand, an arm, a grasp — because that is where the data and the benchmarks are. Whole-body means balance, gait, contact with the environment, and the coordination between all of it. It is where humanoids visibly struggle in the field.
It is also the hardest thing to evaluate from outside
A manipulation result is a success rate on a task. Whole-body competence shows up as not falling over on a floor nobody photographed. There is no leaderboard for that, and there is no obvious way to build one.
What would make the claim checkable is deployment duration, not demonstration length.
Two production numbers, read carefully
AgiBot has passed 15,000 cumulative units, and Figure 03 is reported building about one robot per hour. A total and a rate are different claims, and the rate is the better one.
One an hour annualises to roughly eight thousand on a single shift. Enough to matter, small enough to be a manufacturing statement rather than a projection — which is exactly why it is credible. Humanoid production claims have generally been the other kind.
The number the sector still will not publish
Retention. Deployments are announced; withdrawals are not. Until enough pilots reach renewal, the honest picture of this industry is hiding inside an asymmetry, and every unit count published in the meantime is measuring supply while being read as demand.
Elsewhere this week a smart-skin humanoid platform launched with an open-source robot model, approaching contact sensing from hardware instead of policy. That is the other half of whole-body, and it is the half you can actually inspect.
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