Featured case studies

If humanoid skills can be learned from people wearing portable rigs, the scarce asset becomes the operation that captures human motion to a standard. Teaching

A rope controller trained almost entirely against its own physics model shows how far simulation can carry a skill, and where measured reality has to

If compact control-first policies can match far larger ones, the advantage moves from borrowed generative pretraining toward the demonstrations those policies are trained on. For

As embodied agents are asked to act on what they can no longer see, the scarce input shifts from clean single demonstrations toward long, consistently

As humanoids move out of cages and into shared space, success stops being task completion and starts being how the person nearby felt about it.

As robot learning shifts from copying demonstrations to recording human judgment about what should happen next, the scarce input becomes that judgment itself. Most of

A humanoid policy can only learn the coordination its demonstrations captured, which makes the capture interface, not the model, the binding constraint. Most humanoid robots

Robot policies break in the situations nobody recorded, and the newest ideas attack how demonstrations are collected rather than how the models are trained. A

As robot data generators learn to choose contact points from language, the scarce input becomes human judgment about what a task actually requires. Hold a