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

Google Deepmind has unveiled a new AI model for robot control. In a pilot test on active Mercedes-Benz production lines, a humanoid robot reportedly achieved a 96 percent success rate.

Google Deepmind has introduced Gemini Robotics 2.5, a vision-language-action model (VLA) that processes visual information, understands language instructions, and translates them into robot movements. The model builds on its predecessor, introduced earlier this year, which was designed to give robots full-body control for the first time.

Google Deepmind says it tested the model on more than 200 tasks, including serving food with tongs and pipetting liquids. Compared to the company's own previous baselines, it reportedly achieves a 30 to 100 percent higher success rate depending on the task type and completes tasks 20 to 30 percent faster.

The model is designed to work with different robot types, including Apptronik's humanoid robot Apollo 2 with a five-fingered hand that has 22 degrees of freedom, and the Franka Duo platform with two-finger parallel grippers.

Google Deepmind tests the model on active Mercedes-Benz production lines

Together with Apptronik and Mercedes-Benz, Google Deepmind tested the model on active production lines in Kecskemét, Hungary, and Sindelfingen, Germany. The Apollo 2 robot handled kitting: it sorted metal parts from bulk bins and placed them into trays in the order needed for each vehicle on the assembly line. Two AI models worked in tandem. Gemini Robotics ER monitored the workflow, while Gemini Robotics 2.5 controlled hands and arms.

Video: Google

Google Deepmind reports a 96 percent success rate for this pilot test. Apptronik CEO Jeff Cardenas said the models improved significantly within a few weeks of post-training and successfully transitioned to Mercedes production with minimal performance loss.

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