Google DeepMind has introduced Gemini Robotics 2.5, a model that controls robot actions based on what a robot sees and the instructions it receives. The company says it can learn a wider range of tasks and complete them faster than earlier models. It is rolling out to robotics partners.
Google DeepMind evaluated the model across 200 distinct tasks, including serving food with tongs, tying a bow and pipetting liquid. It says success rates were 30% to 100% higher than previous baselines, depending on the task, while completion times were 20% to 30% faster.
The model works with different robot types, including Apptronik’s Apollo 2 humanoid and the Franka Duo platform. Apollo 2 has a five-finger SharpaWave hand with 22 degrees of freedom. Franka Duo uses two-fingered grippers.
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Google DeepMind, Apptronik and Mercedes-Benz tested Apollo 2 on active production lines in Kecskemét, Hungary, and Sindelfingen, Germany. In the proof of concept, the robot sorted metal automotive brackets from supply bins into trays in the order needed for vehicles on the line. Google DeepMind reports a 96% success rate.
The robot used Gemini Robotics ER to track the workflow and Gemini Robotics 2.5 to control its hands and arms. Google DeepMind says the system could take on repetitive preparation work while technicians focus on more complex assembly tasks.

Google DeepMind reports safety test results
The company says guidance applied while the model runs improved safe task completion by 33% around obstacles and 43% around nearby people in its evaluations. It is also releasing ASIMOV-Jailbreak, an open-source benchmark with hundreds of prompts that disguise unsafe requests across dozens of scenes. Google DeepMind says Gemini 4 Argon resisted 99.5% of those jailbreak attempts, compared with 82% for its previous baseline, Gemini Robotics ER 2.
Google DeepMind says it used Gemini 4 Argon to generate simulated practice runs and help researchers investigate task failures during development. Gemini Robotics 2.5 is rolling out to the company’s robotics partners.



