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Google DeepMind's 'RoboCat' agent enables robots to quickly adapt and learn new skills, whether it be solving puzzles or playing video games. It achieves this by leveraging DeepMind's Gato model, which is capable of processing language, images and actions in simulated as well as physical environments. What the researchers found was that it was able to acquire new tasks with as few as 100 demonstrations, thanks to its ability to draw from a large and diverse dataset. They cam up with a five step process to help 'RoboCat' train robots to learn new tasks, starting by collecting 100-1000 demonstrations of
Google's AI agent RoboCat can improve itself with minimum demos: Read on to know more - Smartprix
Google DeepMind's RoboCat: A New Era of Robotics
Google DeepMind's 'RoboCat' Agent Enables Robots to Quickly Adapt and Learn New Skills - TechEBlog
RoboCat: Google DeepMind's Groundbreaking Self-Learning Agent Redefining Robotics, by Technical Yacht
Innovative Freeform Robot Can Reconfigure Itself and Boasts Self-Healing Abilities - TechEBlog
RoboCat, the self-learning agent from Google DeepMind, is here to transform the world of robotics!
Google DeepMind's RoboCat: A New Era of Robotics
Google's AI agent RoboCat can improve itself with minimum demos: Read on to know more - Smartprix
Innovative Freeform Robot Can Reconfigure Itself and Boasts Self-Healing Abilities - TechEBlog
RoboCat: Is Google's New AI Revolution a Menace or a Miracle?