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Google DeepMind Introduces Gemini Robotics 2.5 for Real-World Dexterity

Google DeepMindFrom the source·· 3 days agoPicksGemini Robotics 2.5 accelerates real-world general dexterity
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Image: Google DeepMind
Who
Google DeepMind
What
announces Gemini Robotics 2.5, a physical AI model
Quote
Today, we are introducing Gemini Robotics 2.5, our most capable vision-language-action (VLA) model to date.

What happened

Google DeepMind introduced Gemini Robotics 2.5, a vision-language-action model designed to help robots learn a broader range of skills faster. Across 200 distinct tasks, it achieved success rates 30% to 100% higher than previous baselines and completed tasks 20% to 30% faster. In a proof of concept on Mercedes-Benz production lines, Apptronik’s Apollo 2 humanoid sorted automotive parts with a 96% success rate.

Why it matters

The post reports task success and speed gains alongside a factory pilot and safety evaluations, giving readers several concrete measures of the model’s reported performance.

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See the full storyGoogle DeepMind Introduces Gemini Robotics 2.5 for Robot Skills

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    The story so far

    Google DeepMind introduced Gemini Robotics 2.5, a vision-language-action model now rolling out to its robotics partners. The company says it is designed to help robots learn a broader range of skills faster. Across 200 tasks, the model achieved success rates 30% to 100% higher than previous baselines and completed tasks 20% to 30% faster, according to Google DeepMind. In a proof of concept on Mercedes-Benz production lines, Apptronik’s Apollo 2 humanoid sorted automotive parts with a 96% success rate.

    This story is in 11/11 AI DailyRead the whole issue