Google DeepMind unveils Gemini Robotics 2 with full-body control
Google DeepMind has introduced Gemini Robotics 2, an AI platform enabling full-body control for autonomous robots. The update allows the system to coordinate the entire body rather than relying solely on robotic arms.
What happened?
Google DeepMind has unveiled the robotics platform Gemini Robotics 2. The new version introduces full-body control for robots, allowing the AI model to coordinate the entire robotic frame rather than just controlling isolated robotic arms. Published video material shows autonomous robots, including humanoid models, performing tasks such as cleaning, changing light bulbs, tying rubbish bags, and watering plants.
Key facts
| Plattform | Gemini Robotics 2 |
|---|---|
| Utvecklare | Google DeepMind |
| Lanseringsdatum | 30 juli 2026 |
| Huvudfunktion | Helkroppskontroll (Whole-body control) |
Why it matters
Previous generations of the system were limited to fine motor skills involving arms and hands in fixed positions. By combining visual input with whole-body movement control, the system marks a step toward more versatile autonomous robots capable of navigating and performing complex tasks in dynamic environments.
Who is affected?
The technology primarily concerns researchers, developers, and companies within robotics and industrial automation seeking to integrate AI models into physical hardware systems. Over time, these developments may also affect the consumer market and the service industry if humanoid robots reach commercial use.
Impact on the EU
The model and platform are developed by Google DeepMind and are globally relevant for research in robotics and AI. No specific EU-regulated restrictions or launch hurdles within the union have been announced for the platform as of yet.
What else you should know
The source notes a degree of skepticism regarding the demonstrations but highlights that Google promises fully autonomous operation in real time without human remote control. This contrasts with some market competitors previously criticized for using hidden operators during their demonstration videos.
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