# Google DeepMind releases Gemini Robotics 2 with whole-body control for humanoid robots

> Google DeepMind has released Gemini Robotics 2, and the headline capability is whole-body control. Earlier robotics models mostly handled table-top tasks, a fixed arm picking up and rearranging objects. This one is designed to coordinate an entire humanoid body at once, blending walking, crouching and fine-fingered manipulation through a single vision-language-action model that can run on the robot itself. Two details stand out. The first is how it was trained: entirely in simulation, using roughly 400,000 paths across 6,000 virtual environments, then transferred to physical robots. The second is flexibility, with DeepMind claiming the model can adapt to a new robot body in a matter of hours rather than requiring a ground-up retraining. The release comes in three tiers, from a reasoning-focused version in DeepMind's studio to on-device and early-access variants, with hardware partners including Apptronik, Boston Dynamics and Agile Robots. The significance is less any single demo and more the trajectory. Treating a robot's whole body as one thing an AI model can reason over, and doing most of the learning in simulation, is how general-purpose humanoids move from research clips toward something you might actually deploy.

_Section: [Daily AI Updates](https://www.wortins.com/daily-ai) · Source: Google DeepMind · Published Tuesday, August 4, 2026_

## Wortins' read

Google DeepMind has released Gemini Robotics 2, and the headline capability is whole-body control. Earlier robotics models mostly handled table-top tasks, a fixed arm picking up and rearranging objects. This one is designed to coordinate an entire humanoid body at once, blending walking, crouching and fine-fingered manipulation through a single vision-language-action model that can run on the robot itself. Two details stand out. The first is how it was trained: entirely in simulation, using roughly 400,000 paths across 6,000 virtual environments, then transferred to physical robots. The second is flexibility, with DeepMind claiming the model can adapt to a new robot body in a matter of hours rather than requiring a ground-up retraining. The release comes in three tiers, from a reasoning-focused version in DeepMind's studio to on-device and early-access variants, with hardware partners including Apptronik, Boston Dynamics and Agile Robots. The significance is less any single demo and more the trajectory. Treating a robot's whole body as one thing an AI model can reason over, and doing most of the learning in simulation, is how general-purpose humanoids move from research clips toward something you might actually deploy.

## Source

[Read the full story at Google DeepMind](https://deepmind.google/blog/gemini-robotics-2-brings-whole-body-intelligence-to-robots/)

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