Meet Gemini Robotics: our latest AI models designed for a new generation of helpful robots. 🤖 ⚡ Gemini Robotics is our most advanced vision-language-action model. It can take in text and images to output actions, interact with humans and adapt to changing environments. It can also perform complex tasks which require a lot of dexterity, such as: 📄 Folding origami 🥗 Packing a lunch box 🎲 Playing tic-tac-toe, and much more. 🦾 And it works across existing bi-arm robots like ALOHA 2 and Franka, as well as more complex applications like Apptronik's humanoid. ⚡ Gemini Robotics-ER brings advanced world understanding to robotics - enabling them to carry out tasks they haven't been trained on, using perception, spatial understanding, planning and more. We look forward to continuing developing these models, working with a broad range of trusted testers, to bring Gemini into the physical world. Find out more → goo.gle/Gemini-2-robotics
Google DeepMind
Research Services
London, London 1,167,209 followers
We're committed to solving intelligence, to advance science and benefit humanity.
About us
We’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. Our long term aim is to solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI). Guided by safety and ethics, this invention could help society find answers to some of the world’s most pressing and fundamental scientific challenges. We have a track record of breakthroughs in fundamental AI research, published in journals like Nature, Science, and more.Our programs have learned to diagnose eye diseases as effectively as the world’s top doctors, to save 30% of the energy used to keep data centres cool, and to predict the complex 3D shapes of proteins - which could one day transform how drugs are invented.
- Website
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https://www.deepmind.google
External link for Google DeepMind
- Industry
- Research Services
- Company size
- 501-1,000 employees
- Headquarters
- London, London
- Type
- Privately Held
- Founded
- 2010
- Specialties
- Artificial Intelligence and Machine Learning
Locations
Employees at Google DeepMind
Updates
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We’re making quantum computing more efficient. 🖥️⚡ AlphaTensor-Quantum is our AI system, designed in collaboration with Quantinuum, which optimizes quantum circuits, helping accelerate discoveries, saving on resources and time. It builds upon AlphaTensor: the first AI system to develop algorithms for computational tasks such as matrix multiplication. AlphaTensor-Quantum outperforms existing methods of quantum optimization, and matches the best human-designed solutions across multiple applications. We look forward to further advancing the field of quantum computing using AI tools, making strides in medicine, materials science, and artificial intelligence - further unlocking AlphaQuantum-Tensor’s full potential. Find out more. ↓ https://goo.gle/41GLC4B
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Google DeepMind reposted this
Thrilled to partner with NVIDIA on bringing Google DeepMind's SynthID watermarking technology to its new world foundation model, Cosmos. This is another step on our journey to enable responsible deployment in the broader generative AI ecosystem. Excited to see industry and developers build on SynthID.
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We’re bringing Gemini 2.0’s intelligence to robots. 🤖 Here's how → https://lnkd.in/egpd6pAh
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Google DeepMind reposted this
📣 MuJoCo announcement 📣 Excited to share that we at Google DeepMind are unveiling MuJoCo-Warp at NVIDIA's GTC Developer Conference! 🚀 MuJoCo-Warp builds on our existing MuJoCo robotics simulator, leveraging NVIDIA’s Warp framework for incredible acceleration. It’s delivering massive performance gains for developers, with over 70X acceleration for humanoid simulations and a 100X speedup for complex in-hand manipulation tasks. ⚡ 🦾 We’re excited that MuJoCo-Warp can speed up workloads, enabling faster iterations for advanced robotics research. You can access it through NVIDIA’s Newton physics simulator, and directly via MuJoCo. Find out more about MuJoCo-Warp here: https://lnkd.in/gZbMhHwJ Google DeepMind Robotics
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We’re thrilled to be named in Fast Company’s 2025 list of Most Innovative Companies in both the Artificial Intelligence and Applied AI categories. 🏅 Find out more about the awards → https://lnkd.in/eiGJYvWk #FCMostInnovative
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Get personal with the Gemini App. ✨ Powered by our Gemini 2.0 Flash Thinking Experimental model, it can analyze your Search history with your permission to better understand interests and give more helpful answers. 🔍 https://goo.gle/3FyskXP
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How are we building Gemini 2.0 for robotics safely? 🌐 By taking a layered approach - combining physical safety, behavioral and semantic safety research, and collaboration with a broad range of experts. Until recently, robotics safety research was mainly about avoiding collisions and reducing hazards. With AI models, robots are now more capable of interacting with humans as well as understanding their environments. These advances require a new approach for evaluation. We released ASIMOV: a comprehensive collection of datasets for assessing the semantic safety of foundation models serving as robotic intelligence. This comes with a framework to automatically generate constitutions steering robots towards safe behaviors. Find out more → https://lnkd.in/e54Vd4X7
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You can now start building with Gemma 3. 🛠️ Made from the same tech powering Gemini 2.0, these are our state-of-the-art open models designed to run fast and directly on devices — helping developers create AI applications wherever people need them. → https://goo.gle/3DGPzON
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