# DeepMind's Robot Servants: Learning Across Different Bodies

Digest AI · Agents & Tools · published 2026-09-15T03:00:00Z

Canonical: https://digestai.news/story/deepmind-s-robot-servants-learning-across-different-bodies

## Summary

Google DeepMind is developing AI that can control multiple robot bodies for tasks like fetching snacks. This builds on their previous work with Gemini Robotics, which could now move a whole body instead of just the waist up. The new system works across various robots from research platforms to humanoids. While not yet full-fledged servants, these robots are starting to perform household chores. DeepMind is focusing on dexterous manipulation—how robots interact with their environment—to make this possible. They're using imitation learning and reinforcement learning to teach the AI how different robot bodies work, drawing on data from the internet. This approach contrasts with traditional robotics where machines need precise instructions for each task. The goal is to create a general-purpose intelligence that can perform tasks across different robots or even humanoids.

## Key points

- DeepMind developing AI to control multiple robot bodies
- Gemini Robotics now controls whole-body movement of various robots
- Focus on dexterous manipulation for everyday tasks

## Why it matters

This development could significantly advance the field of robotics, making machines more versatile and capable of performing a wider range of tasks.

## Sources

1. [Google DeepMind wants to build an AI brain that can jump between robot bodies](https://scientificamerican.com/article/google-deepmind-wants-gemini-to-power-many-different-robots) (scientificamerican.com, 2026-09-15)

## Cite

Digest AI, "DeepMind's Robot Servants: Learning Across Different Bodies", 15 September 2026, https://digestai.news/story/deepmind-s-robot-servants-learning-across-different-bodies

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