Summarize with AI
Google has shown Gemini 4 Argon controlling real robots and building physics simulations to rehearse in. On ERQA, a test of reasoning about the physical world, Argon scores 87% with no tools, which Google says beats every other frontier model.
Google published the demos on October 13, 2026, the day Gemini 4 Argon launched. This is not a separate robotics product: developers use the same gemini-4-argon model through the paid tier of the Gemini API.
What Argon did with robots
- Boston Dynamics Spot. Argon built a MuJoCo digital twin of a foot-pedal trash bin, practised its moves in it, then had the real Spot step on the pedal and drop soda cans into the open bin.
- Simple arm with a wrist camera. Over several turns of look, grasp, move and place actions, Argon set a fallen mug upright and put a crumpled napkin inside.
- From a sketch to a simulation. From a photo of a pen-and-paper sketch, Argon built a simulated scene in which an Apollo 2 humanoid throws a ball at a pyramid of 6 boxes. It checked that all 6 boxes fell. This one was simulation only.
What Argon did with robot data
| Task | Result Google reports |
|---|---|
| Annotate a 136-second video of a two-armed ALOHA 2 robot folding an origami fox | 6 subtasks and 17 contact-level actions; it flagged pauses, unstable grasps and fumbles |
| Improve a LEGO-brick pick-and-place on an SO-101 arm from its own logs and footage | Task time went from 58.9 s to 22.9 s to 17.4 s over three iterations |
| Build a calibrated simulation from one photo of two Franka arms | 77 tasks and 4,500+ training episodes |
| Fine-tune a vision-language-action (VLA) model on those episodes | Real-world success rate 56% → 75%, completion time 35 s → 24 s |
Where to try it
- Gemini API paid tier in Google AI Studio, model
gemini-4-argon. - Google AI Ultra subscribers in AI Studio and Google Antigravity.
Sources
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