# Google DeepMind Releases Gemini Robotics 2 With Whole-Body Control

> Google DeepMind has released Gemini Robotics 2, an update that moves beyond controlling just a robot's arms to coordinating its whole body. The system can have a machine walk, crouch and manipulate objects at the same time, and DeepMind says it lets multiple robots collaborate and communicate on a shared task rather than working in isolation. Two claims stand out. First, the model can adapt to an entirely new robot body within hours rather than the weeks of retraining that has typically been required, which matters in a field where every hardware maker builds differently. Second, it can carry out longer, multi-step jobs while catching and correcting its own mistakes along the way, using three specialized models that handle perception, planning and action together. Whole-body control and fast cross-embodiment transfer are two of the hardest problems in robotics, so progress here is meaningful even if polished demos rarely reflect messy real-world reliability. It points toward general-purpose robots that can be dropped onto varied hardware without starting the training from scratch each time.

_Section: [Daily AI Updates](https://www.wortins.com/daily-ai) · Source: Google DeepMind · Published Friday, August 28, 2026_

## Wortins' read

Google DeepMind has released Gemini Robotics 2, an update that moves beyond controlling just a robot's arms to coordinating its whole body. The system can have a machine walk, crouch and manipulate objects at the same time, and DeepMind says it lets multiple robots collaborate and communicate on a shared task rather than working in isolation. Two claims stand out. First, the model can adapt to an entirely new robot body within hours rather than the weeks of retraining that has typically been required, which matters in a field where every hardware maker builds differently. Second, it can carry out longer, multi-step jobs while catching and correcting its own mistakes along the way, using three specialized models that handle perception, planning and action together. Whole-body control and fast cross-embodiment transfer are two of the hardest problems in robotics, so progress here is meaningful even if polished demos rarely reflect messy real-world reliability. It points toward general-purpose robots that can be dropped onto varied hardware without starting the training from scratch each time.

## 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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