A team of American and Australian researchers claim they have created algorithms that enable robots to learn operational skills by watching human activities. They “taught” their robot to cook by showing it some YouTube videos.
Researchers from the University of Maryland and the Australian research center NICTA have been “educating” their robot using the so-called “deep learning” method of artificial intelligence training.
This method implies that a robot receives large chunks of information through a number artificial neural networks, be it audio and video images recognition or other information inputs, then sums the new data up and acts in accordance with the freshly obtained experience.
The robot employs recognition techniques that make it capable of recognizing specific objects, the way they are grasped by the human hand, and even predicting the next action most likely to be made with the object. This means that the robot could analyze and learn how to handle instruments and tools.
Modern robots could thus be “taught” to mechanically repeat a certain operation, e.g. painting a vehicle, yet a machine capable of analyzing the process to learn “how it works” has an invaluable importance for the future of robotics.
The scientists claim that the AI robot created by the researchers was trained to cook using 88 videos of people cooking found on the web. Once the robot analyzed the videos, it was able to generate the commands it would need to cook food.
“We believe this preliminary integrated system raises hope toward a fully intelligent robot for manipulation tasks that can automatically enrich its own knowledge resource by “watching” recordings from the World Wide Web,” the researchers said.
Read more: Gigabyte gourmet: AI robot learns to cook just by watching YouTube videos
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