Google DeepMindUnited Kingdom2026
Gemini Robotics 2
An AI model: a vision-language-action model (VLA) takes camera images and an instruction and turns them into movements for a robot. This page describes the software, not a robot.
Key figures as stated by the developer
4 of 6 stated · 2 gaps-
Model type B
vision-language-action -
Controls A
arms and handswhole bodywalking -
Inputs A
cameralanguage - Access A partners-early access only
- Parameters not stated
- Base model not stated
How to read the figures
- 14kgA30.9lbA
- The letter in the grey square after a figure points to the source the figure came from. Robots with several sources carry several letters.
- 74.5lb
- Imperial figures are our own conversion unless the manufacturer states an imperial figure itself. The source letter always belongs to the metric figure — a conversion has no source of its own.
Versions and notes in the key figures (4)
Model type
Developer wording: "Our most advanced vision-language-action model (VLA) that converts vision and language input into motor control".
Controls
"This model is capable of controlling full humanoids, from feet to fingertips, and other bi-arm robots." "enable a humanoid to walk, crouch, stretch, and manipulate objects to clean up a cluttered room".
Inputs
Google DeepMind says the model "converts vision and language input into motor control".
Access
"Our VLA and On-Device models are available to early-access partners".
Full specifications
6 of 12 fields stated| Field | Value | Source and caveats |
|---|---|---|
| Input and output | ||
| Model type | vision-language-action | B Developer wording: "Our most advanced vision-language-action model (VLA) that converts vision and language input into motor control". |
| Inputs | camera language | A Google DeepMind says the model "converts vision and language input into motor control". |
| Controls | arms and hands whole body walking | A "This model is capable of controlling full humanoids, from feet to fingertips, and other bi-arm robots." "enable a humanoid to walk, crouch, stretch, and manipulate objects to clean up a cluttered room". |
| Degrees of freedom controlled | not stated | Note No total is given for the model. The only count in the source belongs to a hand, not to the model: "five-fingered, 22 degree-of-freedom SharpaWave hand on the Apollo 2 robot". A |
| Size and speed | ||
| Parameters | not stated | |
| Control rate | not stated | |
| Where it runs and what it is built on | ||
| Runs where | not stated | Note Where the model runs is not stated for Gemini Robotics 2 itself. The local model is a separate one, "Gemini Robotics On-Device 2", which is "optimized to run locally on robotic hardware". B |
| Base model | not stated | |
| Openness | ||
| Access | partners-early access only | A "Our VLA and On-Device models are available to early-access partners". |
| License | not stated | |
| The developer’s own claims | ||
| Learns new tasks | without examples | B Developer claim: "Gemini Robotics 2 can complete a variety of tasks - even if it hasn't been trained on them before." |
| Works across robots | yes | A Developer claim: "Gemini Robotics 2 controlling three different embodiments, using the same model checkpoint": "the Apptronik Apollo 2 robot with SharpaWave hands, the Apollo 2 robot with Inspire hands, and the Franka Duo with the Robotiq gripper". Yes only if the developer itself says the model runs on different robot models, for example robots from two manufacturers or two of one manufacturer’s models. Several units of the same robot do not count. |
Notes
- Google DeepMind calls Gemini Robotics 2 its most advanced vision-language-action model; it was announced on 30 July 2026 with a separate reasoning model (Gemini Robotics ER 2) and an on-device model (Gemini Robotics On-Device 2).
- The reasoning model, Gemini Robotics ER 2, is a vision language model that plans tasks and coordinates with the vision-language-action model; it is a separate model.
- Google DeepMind published the announcement on 30 July 2026.
Sources
-
A
Manufacturer product page. deepmind.
google/ · Retrievedblog/ gemini-robotics-2-brings-whole-body-intelligence-to-robots/ -
B
deepmind.
google/ · Retrievedmodels/ gemini-robotics/
One line per source, not per figure: a source has one retrieval date. The letter beside a figure points to the line it came from.