Deployment

Deployment is when humanoid robots leave the lab and enter the real world. It’s where theory meets the factory floor, warehouse uncertainty, and retail unpredictability. A deployed robot must manage long shifts, ambiguous inputs, and tasks that don’t match clean scripts. It needs fallback strategies, safety overrides, and remote monitoring.

Deployment pressure exposes edge cases that academic testing can’t. But it also triggers iteration: field logs become training data, and failures become new features. Integration is often the bottleneck — robots must slot into workflows, infrastructure, and operator habits that weren’t built for them. For many teams, this takes months. Humanoid was founded on a different assumption: that integration should take weeks, not quarters.