Gemini Robotics 2.5 launches with enhanced everyday skills

Google DeepMind's latest robot model learns hundreds of tasks, from folding laundry to sorting car parts on a factory line Google DeepMind has unveiled Gemini Robotics 2.5, a new model built to teach robots more skills, faster. The company is calling it its most capable vision-language-action model so far. The pitch is broad competence over party tricks. Demonstrations covered hundreds of everyday and industrial jobs, from folding laundry to sorting automotive parts. What Gemini Robotics 2.5 actually does Google DeepMind announced the model on November 10, 2026. It is a vision-language-action model, or VLA, which is the category the company is pushing hard. The headline goal of this release is twofold. Google DeepMind wants robots to learn a wider range of tasks, and it wants them to pick those tasks up more quickly. To test that, the company evaluated the model on 200 distinct tasks. Those tests emphasized advanced tool use and delicate handling, the kind of work where a clumsy grip ruins the outcome. The performance numbers are the part that stands out. Compared with earlier models, success rates improved by 30% to 100% across various tasks. Speed moved too. Task completion ran 2...