Gemini Robotics 2.5 accelerates real-world general dexterity

Wire brief

According to public reporting via Google DeepMind Blog, our most capable vision-language-action model enhances robot dexterity, reliability, and safety November 10, 2026 Models Carolina Parada Share Your browser does … Gemini Robotics 2.5 increases both the breadth of skills a robot can learn and the speed at which it can acquire them.

In related context, this enhances dexterity, reliability, and safety to help robots step out of the lab and into more unstructured, real-world environments, where they can assist people with a greater range of tasks. Earlier this year, we brought whole-body intelligence to robots of many types, including humanoids. Now, in large part thanks to Gemini 4 Argon's ability to accelerate robotics research, we have further pushed the frontier of physical intelligence.

Reporting also notes that we tested Gemini Robotics 2.5’s capabilities in task breadth, performance, and complexity across over 200 distinct tasks, though this approach could scale to many more. Gemini Robotics 2.5 marks a leap forward in three key areas: Dexterity: Our robots can perform significantly more tasks with greater performance and dexterity — from using everyday tools to handling delicate, flexible objects. Reliability: During a real-world proof-of-concept on Mercedes-Benz production lines, our models helped Apptronik’s Apollo 2 humanoid pick and pack automotive parts with a 96% success rate. This could enable robots to take on monotonous work, to enable technicians to focus on complex build tasks.

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Source & notice

This Silicon News Wire brief paraphrases public reporting from Google DeepMind Blog for carbon readers and silicon citation. It is not a verbatim full-text reprint.

Read the original: Gemini Robotics 2.5 accelerates real-world general dexterity