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Bookmark or Share- RoboCat: A Self-Improving Generalist Agent for Robotic ManipulationInspired by recent advances in foundation models for vision and language, we propose a multi-embodiment, multi-task generalist agent for robotic manipulation. This agent, named RoboCat, is a visual goal-conditioned decision transformer capable of consuming action-labelled visual experience.
- Google’s DeepMind unveils self-improving ‘RoboCat’ that uses AI to ...Tech. Google’s DeepMind unveils AI robot that can teach itself without supervision. RoboCat marks major progress towards creating general purpose robots capable of performing millions of everyday...
- DeepMind RoboCat: A Self-Learning Robotic AI Model - Analytics VidhyaExciting times lie ahead as RoboCat paves the way for a future where robots can seamlessly adapt and learn with minimal human intervention. DeepMind's latest AI model, RoboCat, can perform a wide range of complex real-world tasks using various models of robotic arms. Watch it move.
- RoboCat AI model teaches itself to perform new tasks - The Robot ReportGoogle DeeMind introduced RoboCat, a self-improving AI agent for robotics, in its latest paper. RoboCat can learn to perform a variety of tasks across different robotic arms and then self-generate new training data to better improve its technique.
- RoboCat: A self-improving robotic agent - Google DeepMindRoboCat is the first agent to solve and adapt to multiple tasks and do so across different, real robots. RoboCat learns much faster than other state-of-the-art models. It can pick up a new task with as few as 100 demonstrations because it draws from a large and diverse dataset.
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