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title: “Siemens puts Humanoid HMND 01 Alpha on the Erlangen line — 60 totes/hour, 90% pick rate”

A UK startup just walked a wheeled humanoid onto a real Siemens production floor and had it move boxes for eight hours straight. That’s the Hannover Messe headline this week, and robotics Twitter is treating it as the moment “physical AI” stopped being a demo reel.

The hardware

HMND 01 Alpha is a 220 cm wheeled humanoid — omnidirectional base, two arms, 29 active degrees of freedom. Bimanual payload tops out at 33 lbs, vertical reach hits 2 meters, and the sensor head packs 360° RGB cameras plus dual depth sensors. Edge compute runs on NVIDIA Jetson Thor, with 6D force-torque sensing in the wrists. At Siemens’ Erlangen electronics plant it clocked 60 tote moves per hour, pick-and-place success above 90%, and 8 hours of continuous uptime.

What an agent can actually drive

It runs on NVIDIA’s full Physical AI stack: Isaac Sim for simulation, Isaac Lab for reinforcement learning, Isaac GR00T N1.7 as the vision-language-action model. Humanoid layers its KinetIQ framework on top to orchestrate skills and fleets. Translation: MES/WMS systems dispatch tasks straight into KinetIQ, and developers fine-tune behaviors in Isaac Lab before pushing to hardware. Simulation-first is how they cut the usual 18–24 month prototype cycle down to 7.

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