Google DeepMind Introduces Gemini Robotics 2.5 for Robot Skills

1. 01:11
   The DecoderPicks

   Google DeepMind Introduces Gemini Robotics 2.5 for Robot Control

   Google DeepMind introduced Gemini Robotics 2.5, a vision-language-action model for robot control, and tested it with Apptronik and Mercedes-Benz on active production lines in Hungary and Germany. The Apollo 2 humanoid robot sorted metal parts into trays for vehicle assembly, with Google DeepMind reporting a 96 percent success rate in the pilot. The company says the model is rolling out to Agile, Apptronik, and Mercedes-Benz.

1. 23:00
   Google DeepMind · XPicks

   Google DeepMind Announces Gemini Robotics 2.5 for Physical AI

   Google DeepMind announces Gemini Robotics 2.5, describing it as physical AI able to learn hundreds of everyday skills. Examples include folding laundry, serving pastries, and autonomously sorting car parts on a factory floor.

2. 23:00
   Ars Technica · AI

   Google DeepMind Reveals Gemini Robotics 2.5 and ASIMOV-Jailbreak Benchmark

   Google DeepMind has revealed Gemini Robotics 2.5, a new version of its vision-language-action model for generating robot actions. The report says it was evaluated on more than 200 activities, including serving food with tongs and using a pipette, and describes an Apptronik Apollo 2 robot tying a bow. DeepMind is also preparing an open source safety benchmark for robots operating alongside people.

3. 03:51
   Google DeepMindPicks

   Google DeepMind Introduces Gemini Robotics 2.5 for Real-World Dexterity

   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.

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