Robots today can do a variety of tasks as long as they are trained on real-world data. But what if they could bypass this step? It would result in many more general-purpose robots being developed at a faster rate.
Google’s DeepMind has introduced a self-improving AI model called RoboCat that may just be the key to machines that can self-generate new training data to improve their technique without too much human interference.
This is according to a blog by the firm published on Tuesday.
“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. This capability will help accelerate robotics research, as it reduces the need for human-supervised training, and is an important step towards creating a general-purpose robot,” state the researchers in their post.
