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DeepMind's latest AI robotics platform pushes toward 'physical AGI' with whole-body intelligence, and the implications for AI-adjacent crypto tokens are worth watching
Google DeepMind just dropped Gemini Robotics 2, and it’s the kind of announcement that makes you rethink what robots will actually look like in five years. The new platform gives AI-powered robots the ability to handle complex physical tasks, continuously read their surroundings, and coordinate with other machines in real time. One of the sub-models, Gemini Robotics ER 2, is now publicly accessible to developers through Google AI Studio.
DeepMind scientists have a term for this ambition. They call it “physical AGI.”
What’s actually new under the hood #
Gemini Robotics 2 is built on top of the broader Gemini 2.0 foundation and introduces what the company calls vision-language-action capabilities for whole-body intelligence. In English: the robot can see its environment, understand natural language instructions, and translate both into coordinated physical movements across its entire body.
The upgrade path here has been relatively swift. Google first launched Gemini Robotics on March 12, 2025. An on-device variant followed in June 2025. Now the 2.0 release adds long-horizon planning, meaning robots can chain together sequences of actions over extended periods without needing constant human supervision.
Enhanced dexterity is the headline feature. These robots can now perform complex manipulation tasks that earlier versions simply couldn’t manage.
The multi-robot collaboration angle is particularly notable. Gemini Robotics 2 allows different types of robotic embodiments, whether bipeds, humanoids, or other form factors, to coordinate their actions seamlessly. Google has confirmed partnerships with Apptronik for humanoid development, and collaborations with Boston Dynamics and Agile Robots are also being tested.
The public release of Gemini Robotics ER 2 through Google AI Studio is the most developer-friendly move in the package. It’s designed specifically for embodied reasoning and planning, giving third-party builders a way to integrate advanced robotic intelligence into their own hardware.
Why the crypto market should be paying attention #
There’s no blockchain component in this announcement. Google DeepMind isn’t minting tokens or putting robot coordination on-chain.
There’s also a less obvious angle. Multi-robot collaboration systems like Gemini Robotics 2 will eventually need coordination layers that handle trust, verification, and task assignment across machines owned by different parties. That’s a use case where blockchain-based coordination protocols could theoretically find product-market fit.
The competitive landscape and what investors should watch #
Google’s robotics push doesn’t exist in a vacuum. OpenAI has been exploring physical world models. Tesla continues to develop its Optimus humanoid robot. Nvidia’s Isaac platform provides simulation environments for robotics training.
The partnership strategy also matters. Google’s collaborations with Apptronik, Boston Dynamics, and Agile Robots indicate that the company is betting on an ecosystem approach rather than trying to build everything in-house.
The risk for AI-adjacent crypto tokens is that announcements like Gemini Robotics 2 drive narrative momentum without corresponding fundamental demand for decentralized services. Centralized cloud providers like Google Cloud, AWS, and Azure remain the default infrastructure layer for AI workloads.
Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our