Apollo 2

Google has launched Gemini Robotics 2.5, its most capable vision-language-action model to date, delivering gains in dexterity, reliability and safety across more than 200 tested tasks. In a real-world proof of concept on a Mercedes-Benz production line, it drove Apptronik's Apollo 2 humanoid to pick and pack auto parts with a 96% success rate, improving success by 30-100% and speed by 20-30% over prior baselines. The model is now opening to Google's robotics partners.

Google DeepMind unveiled Gemini Robotics 2.5, a vision-language-action model it says outperforms its own prior baselines by 30 to 100 percent depending on task type. On active Mercedes-Benz production lines in Hungary and Germany, Apptronik's humanoid Apollo 2 sorted metal parts with a reported 96 percent success rate. DeepMind also uses Gemini 4 Argon as a simulation engine for training and open-sourced the ASIMOV-Jailbreak benchmark to test robotics model safety.