# “🤖 RoboCat: The Purr-fect AI Model That Learns and Adapts to Real-World Robotic Tasks! 😺🤖”
1. **DeepMind introduces RoboCat, an AI model capable of solving diverse tasks using different real-world robots.** RoboCat’s unique ability to adapt to multiple tasks and embodiments sets it apart from previous models.
2. **RoboCat was trained on a combination of simulated and real-life data, including images and actions collected from various robotic arms.** The model underwent fine-tuning and practice on specific tasks, resulting in its ability to operate different types of robotic arms, including more complex ones.
3. **With further development, RoboCat could reduce the number of demonstrations required to teach new tasks to fewer than 10.** This breakthrough has the potential to lower barriers in robotics and enable faster learning and problem-solving in the field.
## Supplemental Information ℹ️
In the world of robotics and artificial intelligence, DeepMind’s RoboCat represents a significant advancement. By demonstrating the model’s adaptability and its potential for rapid learning, DeepMind has opened new possibilities for training AI to perform a wide range of tasks using different robotic systems. With continued research and refinement, RoboCat could pave the way for more efficient and accessible robotics applications.
### ELI5 💁
DeepMind created RoboCat, an AI model that can learn and do different tasks with real robots. They trained RoboCat by showing it lots of examples of people using robots to do things, like picking up gears or stacking blocks. RoboCat can adapt to different robots and learn new tasks with fewer demonstrations. It’s like teaching a clever cat to do different tricks, but with robots instead!
#### Source 📚: https://techcrunch.com/2023/06/21/deepminds-robocat-learns-to-perform-a-range-of-robotics-tasks/amp/