Source URL: https://hardware.slashdot.org/story/25/03/12/2018222/googles-new-robot-ai-can-fold-delicate-origami-close-zipper-bags?utm_source=rss1.0mainlinkanon&utm_medium=feed
Source: Slashdot
Title: Google’s New Robot AI Can Fold Delicate Origami, Close Zipper Bags
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Summary: Google DeepMind has introduced two innovative AI models, Gemini Robotics and Gemini Robotics-ER, aimed at enhancing robot interaction with the physical world. These advancements build on the Gemini 2.0 large language model and promise improved capabilities in executing complex physical tasks, indicating significant progress in robotics.
Detailed Description: Google DeepMind’s recent announcement introduces two AI models that aim to expand the capabilities of robots in understanding and manipulating their environments. The key advancements represented by Gemini Robotics and Gemini Robotics-ER are important for professionals in AI and robotics security, as they integrate complex AI functionalities with practical physical interactions.
– **Gemini Robotics**: This model focuses on “vision-language-action” (VLA) abilities, which allow robots to:
– Process visual information.
– Understand language commands.
– Generate physical movements based on those commands, significantly improving task execution.
– **Gemini Robotics-ER**: This variant emphasizes “embodied reasoning” with enhanced spatial understanding, which:
– Enables integration with existing robot control systems.
– Facilitates intricate tasks like origami folding, demonstrating remarkable dexterity.
– **Performance Improvements**:
– Gemini Robotics surpasses previous models like RT-2, showing over twice the performance on a generalization benchmark.
– It moves beyond merely understanding commands, allowing robots to perform complex physical tasks that were previously challenging.
– **Collaborative Advancements**: Google’s partnership with Apptronik aims to develop next-generation humanoid robots using these AI models.
The significance of these advancements lies in their potential implications for security and compliance professionals, especially in the areas of AI security and the ethical deployment of AI in robotics. As robots become increasingly capable of complex maneuvers, there will be heightened concerns about ensuring these systems are secure from unauthorized manipulation and operate within regulatory frameworks. Additionally, as physical interactions with robots become more nuanced, the privacy implications of data handling must also be carefully managed.