Google DeepMind says Gemini Robotics 2.5 can double task success rates

Google DeepMind revealed Gemini Robotics 2.5, a new version of its AI platform for robots, along with the open-source safety benchmark ASIMOV-jailbreak. The company says the model was evaluated on more than 200 activities, including serving food with tongs, using a pipette and tying a bow, and achieved a 30% to 100% higher success rate than the previous version while operating 20% to 30% faster. Those results come from laboratory tests. In a partnership with Apptronik and Mercedes-Benz, Google also tested Apollo 2 humanoid robots in several European factories, where they kitted automotive parts with a 96% success rate, according to Ars Technica.

DeepMind says Gemini 4 Argon helped create a simulation engine capable of generating thousands of task variations from real camera data. The team combined those “digital twins” with real demonstrations to train the model, but director Kanishka Rao said closing the remaining gap with human performance will be difficult.