Source URL: https://hardware.slashdot.org/story/25/06/24/2150256/google-rolls-out-new-gemini-model-that-can-run-on-robots-locally?utm_source=rss1.0mainlinkanon&utm_medium=feed
Source: Slashdot
Title: Google Rolls Out New Gemini Model That Can Run On Robots Locally
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AI Summary and Description: Yes
Summary: Google DeepMind has introduced Gemini Robotics On-Device, an advanced language model allowing robots to execute complex tasks locally without needing internet access. This development is significant for AI security as it brings forth capabilities that can enhance autonomous and privacy-focused robotic applications.
Detailed Description: The launch of Gemini Robotics On-Device marks a substantial advancement in the scope of robotics and artificial intelligence, emphasizing the potential of on-device processing for security and operational efficiency. The following points outline the key features and implications:
– **Local Processing**: The on-device capabilities allow robots to function without an internet connection, which is crucial for maintaining privacy and data security. This minimizes the risk of data interception and enhances the privacy of user interactions and data handling.
– **Control and Customization**: Developers have the flexibility to utilize natural language prompts to fine-tune the model to meet specific operational requirements. This adaptability may lead to more efficient and secure robotic solutions in varied environments.
– **Performance Benchmarking**: Google claims that the on-device model performs comparably to its cloud-based counterpart, indicating that significant processing capabilities can be achieved without relying on external resources. This transition to local processing could enhance security by limiting the exposure of data to the cloud.
– **Robotics Application Demonstrations**: In practical demonstrations, robots equipped with Gemini Robotics On-Device performed tasks such as unzipping bags and folding clothes. This showcases the model’s versatility and potential application in various sectors, including manufacturing and domestic services.
– **Training and Adaptation**: The ability of the bi-arm Franka FR3 robot to adapt to novel scenarios suggests that such models can learn and evolve autonomously, which has implications for operational security and performance in unpredictable environments.
– **Gemini Robotics SDK**: The introduction of a Software Development Kit (SDK) for Gemini Robotics enables developers to streamline the training process further. It aids in creating customized robotic applications that can respond to specific tasks efficiently.
The implications of this innovation are critical for security professionals, as it demonstrates the evolving landscape of AI-driven robotics, with a strong focus on local processing capabilities which enhance security while maintaining operational efficiency. This aligns with trends towards increased privacy and control over machine learning applications in industries where data sensitivity is paramount.