Recent Highlights
GEN-1.5 / Embodied Foundation Models are One-Shot Learners
GEN-1.5 can in-context learn a new task from as little as 12 seconds of demonstration data — or adapt with 1 to 10 gradient steps on minutes of data. These capabilities emerge from pretraining on large-scale physical experience.
GEN-1.5
Towards Machines with a Thousand Hands
Robots aren't locked into the hands they're born with. GEN-1 now supports a broad range of end effectors, showing how a single model can transfer across radically different ways of interacting with the physical world.
Accelerating the Next Phase of Physical AI
Millions of robots are operating in the world today. Billions more are coming across factories, warehouses, laboratories, restaurants, farms, homes, and space. They will share one need: intelligence that can understand and act in the physical world.
