Google launches 'Gemini Robotics On-Device' AI model that powers robots offline
Google DeepMind recently introduced a cutting-edge artificial intelligence (AI) system known as 'Gemini Robotics On-Device'. This innovative model is specifically designed to operate on robots without the need for an internet connection, setting it apart from traditional cloud-based AI systems.
The 'Gemini Robotics On-Device' model enables robots to process visual data, interpret language, and execute actions using their internal hardware components. By leveraging on-device capabilities, robots powered by this AI model exhibit enhanced speed, reliability, and the ability to function in environments where internet connectivity is limited or restricted.
Advancements in AI Technology
Originally introduced in March 2025, the on-device model represents a more compact and efficient iteration of the Gemini Robotics system. In contrast to its predecessor, which relied on cloud computing resources, the new version operates exclusively on the robot's hardware. This shift not only reduces response times but also enhances privacy and security measures.
Despite its smaller footprint, the 'Gemini Robotics On-Device' model remains capable of performing a wide array of tasks. From folding clothes and assembling components to manipulating objects, robots equipped with this AI system have demonstrated remarkable versatility across different robot platforms.
Empowering Developers
To empower developers and enhance the system's adaptability, Google is offering tools such as the Gemini Robotics SDK and the MuJoCo simulator. These tools enable engineers to train and optimize the model for new tasks with as few as 50 to 100 demonstrations. This streamlined process minimizes development time and facilitates the utilization of the same model across diverse robotic systems and environments.
According to Google, 'Gemini Robotics On-Device' outperformed other on-device AI models in tests involving complex, multi-step tasks that extended beyond the model's initial training parameters.
Focus on Safety and Ethical Deployment
In line with ensuring safety and responsible deployment, Google has integrated the model to work in conjunction with safety-critical control systems that oversee the robot's motions. The company has restricted access to the model to trusted partners while additional testing and safety evaluations are conducted.
This development coincides with a broader trend in the robotics industry towards on-device AI integration. Major tech players like Nvidia are also investing in delivering advanced AI capabilities directly to robot hardware. Nvidia's Jetson platform, for instance, is engineered to provide robust AI performance with minimal latency, independent of cloud dependencies.
