Google DeepMind’s Gemini Robotics 2.5 scores 96 percent sorting metal parts in a Mercedes-Benz assembly pilot

Maximilian Schreiner View the LinkedIn Profile of Maximilian Schreiner Nov 10, 2026 Google Deepmind Key Points Google Deepmind introduced Gemini Robotics 2.5, a new VLA model it says performs 30 to 100 percent better than its own previous baselines depending on the task type. On active Mercedes-Benz production lines in Hungary and Germany, Apptronik’s humanoid robot Apollo 2 sorted metal parts with a reported success rate of 96 percent. Google Deepmind uses its language model Gemini 4 Argon as a simulation engine for training and released the open-source benchmark ASIMOV-Jailbreak to test the safety of robotics models. Google Deepmind has…