Data & Benchmarks

MimicGen

MimicGen is a data generation system, introduced by NVIDIA researchers in 2023, that automatically synthesizes large imitation learning datasets from a small number of human demonstrations. It segments source demonstrations into object-centric manipulation phases, then adapts and replays those segments in new scenes with transformed object poses, verifying task success. The original work produced over 26,000 demonstrations from fewer than 200 human ones across diverse tasks.

Why it matters for physical AI

Demonstration collection is the cost bottleneck of imitation learning; programmatic multiplication of scarce human data offers orders-of-magnitude leverage, a strategy now central to simulation-based data engines for manipulation.

Build physical AI

Put these concepts to work on real hardware

Axol is a dual-arm robot built for physical AI — teleoperate it, collect demonstrations, and deploy learned policies out of the box.