{"slug": "google-deepmind-debuts-gemini-robotics-2-model-series-for-humanoid-robots", "title": "Google DeepMind debuts Gemini Robotics 2 model series for humanoid robots", "summary": "Alphabet Inc.'s Google DeepMind debuted the Gemini Robotics 2 model series for humanoid robots, featuring an embodied reasoning algorithm called Gemini Robotics ER 2 that enables multiple autonomous machines to collaborate on tasks comprising hundreds of steps. The series also includes two VLA models, Gemini Robotics 2 and Gemini Robotics On-Device 2, which translate action plans into low-level motor commands, with the latter designed to run on onboard computers and adaptable to new robots in hours. Developers can access ER 2 via Google Cloud, the Gemini API, and Google AI Studio, alongside a new embodied AI safety benchmark called the ASIMOV-Agentic Benchmark.", "body_md": "### Google DeepMind debuts Gemini Robotics 2 model series for humanoid robots\n\nAlphabet Inc.’s artificial intelligence research lab today [debuted](https://deepmind.google/blog/gemini-robotics-2-brings-whole-body-intelligence-to-robots/) a family of models optimized to power humanoid robots.\n\nGoogle DeepMind says that the Gemini Robotics 2 series enables multiple autonomous machines to collaborate on a task. According to the company, it can automate chores that comprise hundreds of steps.\n\nMany humanoid robots feature a so-called dual-system AI architecture. That means they use two AI models to carry out work. The first model, which is known as an embodied reasoning algorithm, crafts a high-level plan for how to perform a task. It then sends the plan to a so-called VLA model, which turns the instructions into low-level commands for the host robot’s motors.\n\nThe main highlight of the Gemini Robotics 2 series is an embodied reasoning algorithm called Gemini Robotics ER 2. It enables users to describe the task that a humanoid robot should perform in natural language. According to Google, ER 2 supports tasks that comprise hundreds of steps and take several minutes to complete.\n\nThe model can split a lengthy chore among several different robots to speed it up. Moreover, a tool calling feature enables ER 2 to access external cloud services. For example, it could use Google Search to clarify parts of a prompt that it doesn’t understand.\n\nHumanoid robots require the ability to redo tasks that they don’t complete successfully on the first try. According to DeepMind, its engineers equipped ER 2 with two features that streamline the workflow.\n\nThe first feature enables the model to track the progress of a task using footage from the host robot’s cameras. If the robot makes a mistake, ER 2 can identify the last step that the machine completed correctly and pick up where it left off. That removes the need to redo chores from scratch, which saves time.\n\nThe other new feature makes ER 2 better than its predecessor at determining when a task is complete. The faster a humanoid robot’s AI can tick off a task, the sooner it can move on to the next one. The capability also eases certain related tasks such as identifying ways to correct mistakes.\n\n“By watching continuous video feeds, robots can now track their own progress, adapt if something goes wrong, and know exactly when to move on to the next step,” Google engineers Steven Hansen and Peng Xu wrote in a [blog post](https://blog.google/innovation-and-ai/models-and-research/google-deepmind/gemini-robotics-er-2/) today.\n\nAfter ER 2 generates a plan for how to carry out a task, it can send the instructions to one of the two other models in the Gemini Robotics 2 series. They’re VLA algorithms capable of translating action plans into low-level instructions for the host robot.\n\nThe first model is known as Gemini Robotics 2. Unlike certain earlier models, it can control all of a humanoid robot’s components and not just its hands. As a result, the algorithm can optimize the host machine’s center of gravity in a way that minimizes the risk of falls. Furthermore, Gemini Robotics 2 supports a broader range of robotic hands than DeepMind’s earlier software.\n\nThe second VLA model that debuted today is called Gemini Robotics On-Device 2. As the name indicates, it’s designed to run directly on humanoid robots’ onboard computers. DeepMind says that the model can be adapted to a new robot with a few hours of training.\n\nDevelopers can access ER 2 via Google Cloud, the Gemini API and Google AI Studio. The company is rolling out the model alongside a new embodied AI safety benchmark. The ASIMOV-Agentic Benchmark, as it’s called, is designed to evaluate human robots’ ability to avoid collisions and other risks.\n\n##### Image: Google\n\n# A message from John Furrier, co-founder of SiliconANGLE:\n\nSupport our mission to keep content open and free by engaging with theCUBE community. **Join theCUBE’s Alumni Trust Network**, where technology leaders connect, share intelligence and create opportunities.\n\n**15M+ viewers of theCUBE videos**, powering conversations across AI, cloud, cybersecurity and more** 11.4k+ theCUBE alumni**— Connect with more than 11,400 tech and business leaders shaping the future through a unique trusted-based network.\n\n# Are you AWS customer? 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Our new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.", "url": "https://wpnews.pro/news/google-deepmind-debuts-gemini-robotics-2-model-series-for-humanoid-robots", "canonical_source": "https://siliconangle.com/2026/07/30/google-deepmind-debuts-gemini-robotics-2-model-series-humanoid-robots/", "published_at": "2026-07-30 23:42:24+00:00", "updated_at": "2026-07-30 23:53:13.596666+00:00", "lang": "en", "topics": ["artificial-intelligence", "robotics", "ai-research", "ai-products", "ai-safety"], "entities": ["Google DeepMind", "Alphabet Inc.", "Gemini Robotics 2", "Gemini Robotics ER 2", "Gemini Robotics On-Device 2", "Google Cloud", "Gemini API", "Google AI Studio"], "alternates": {"html": "https://wpnews.pro/news/google-deepmind-debuts-gemini-robotics-2-model-series-for-humanoid-robots", "markdown": "https://wpnews.pro/news/google-deepmind-debuts-gemini-robotics-2-model-series-for-humanoid-robots.md", "text": "https://wpnews.pro/news/google-deepmind-debuts-gemini-robotics-2-model-series-for-humanoid-robots.txt", "jsonld": "https://wpnews.pro/news/google-deepmind-debuts-gemini-robotics-2-model-series-for-humanoid-robots.jsonld"}}