# Google DeepMind Launches Gemini Robotics ER 2 for Embodied Reasoning

> Google DeepMind has announced Gemini Robotics ER 2, which it describes as its most capable embodied reasoning model to date. The headline additions are multi-robot collaboration, so several machines can coordinate on a shared task, and real-time orchestration that lets the model plan and adjust as a job unfolds rather than following a fixed script. The update also improves video understanding, which matters because a robot's grasp of the world is only as good as its ability to interpret what its cameras are seeing. Better perception feeds directly into better planning, and the two together are what separate a lab demo from something that can operate in a changing environment. Embodied reasoning has quietly become one of the most competitive fronts in AI, with world-model startups and the big labs racing toward the same goal from different directions. A model that can direct multiple robots at once hints at where this is going, from single arms performing narrow tasks toward coordinated systems that handle real workflows.

_Section: [Daily AI Updates](https://www.wortins.com/daily-ai) · Source: Google DeepMind · Published Saturday, August 1, 2026_

## Wortins' read

Google DeepMind has announced Gemini Robotics ER 2, which it describes as its most capable embodied reasoning model to date. The headline additions are multi-robot collaboration, so several machines can coordinate on a shared task, and real-time orchestration that lets the model plan and adjust as a job unfolds rather than following a fixed script. The update also improves video understanding, which matters because a robot's grasp of the world is only as good as its ability to interpret what its cameras are seeing. Better perception feeds directly into better planning, and the two together are what separate a lab demo from something that can operate in a changing environment. Embodied reasoning has quietly become one of the most competitive fronts in AI, with world-model startups and the big labs racing toward the same goal from different directions. A model that can direct multiple robots at once hints at where this is going, from single arms performing narrow tasks toward coordinated systems that handle real workflows.

## Source

[Read the full story at Google DeepMind](https://deepmind.google/research/publications/)

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