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Robotics AI

Google Rolls Out New Gemini Model That Can Run On Robots Locally 11

Google DeepMind has launched Gemini Robotics On-Device, a new language model that enables robots to perform complex tasks locally without internet connectivity. TechCrunch reports: Building on the company's previous Gemini Robotics model that was released in March, Gemini Robotics On-Device can control a robot's movements. Developers can control and fine-tune the model to suit various needs using natural language prompts. In benchmarks, Google claims the model performs at a level close to the cloud-based Gemini Robotics model. The company says it outperforms other on-device models in general benchmarks, though it didn't name those models.

In a demo, the company showed robots running this local model doing things like unzipping bags and folding clothes. Google says that while the model was trained for ALOHA robots, it later adapted it to work on a bi-arm Franka FR3 robot and the Apollo humanoid robot by Apptronik. Google claims the bi-arm Franka FR3 was successful in tackling scenarios and objects it hadn't "seen" before, like doing assembly on an industrial belt. Google DeepMind is also releasing a Gemini Robotics SDK. The company said developers can show robots 50 to 100 demonstrations of tasks to train them on new tasks using these models on the MuJoCo physics simulator.

Google Rolls Out New Gemini Model That Can Run On Robots Locally

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  • What do they do, dress in drag and do the hula?

    • Ohhhhyeah babay and much more. The, umm... shall we say "use case" for the effable vacuum cleaner with a french maid outfit ... I'm ready for my Bender quote now.
    • In addition to murdering us? Not the way I imagined we'd go out.

    • Were it so easy.
  • by I'm just joshin ( 633449 ) on Tuesday June 24, 2025 @08:35PM (#65473850)

    In the future this will be known as Terminator OS 0.0001

  • If you actually look at the demonstration videos you will see they are very impressive. A couple of bot arms can respond to voice commands and perform complex operations on objects on a table. I'd like to experiment with their SDK but the hardware would be expensive.

The world is not octal despite DEC.

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