Google launches on-device Gemini Robotics AI that works without internet
Google DeepMind has recently introduced a groundbreaking new version of its Gemini Robotics AI called Gemini Robotics On-Device. This powerful system allows robots to perform complex tasks without needing a cloud connection, making it ideal for real-world environments with poor or no internet connectivity.
Unlike its cloud-connected predecessor, Gemini Robotics On-Device runs entirely on the robot itself, enabling it to understand natural language, perform fine motor tasks, and generalize from minimal data without internet access. Carolina Parada, head of robotics at Google DeepMind, emphasizes that the system is efficient enough to operate directly onboard, providing fast and reliable performance in latency-sensitive environments.
One of the key advantages of Gemini Robotics On-Device is its adaptability and ease of training. Developers can customize the model with just 50 to 100 demonstrations, making it highly versatile for a variety of applications. While the model was initially trained using Google’s ALOHA robot, it has already been adapted to work with other platforms such as Apptronik’s Apollo humanoid and the Franka FR3.
Privacy and reliability are top priorities with this on-device model, as all data processing remains local. This not only enhances privacy, particularly in sensitive applications like healthcare, but also ensures that robots can continue operating during internet outages or in isolated environments. Google envisions this version as a valuable solution for deployment in remote, security-sensitive, or infrastructure-poor settings.
In terms of safety, developers are encouraged to build safety systems into their robots using tools like the Gemini Live API and trusted low-level controllers. While the on-device model does not include built-in semantic safety features, Google is working closely with select developers to study safety risks and real-world applications.
Overall, the release of Gemini Robotics On-Device represents a significant advancement in robotics technology. With the ability to operate independently of the cloud, these smart and adaptive robots are poised to tackle real-world tasks in ways that traditional robots cannot. The system’s faster performance, enhanced privacy, and reliability make it a promising tool for a wide range of applications.
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