Many approaches designed to train robots to successfully tackle these tasks rely on imitation learning. This means that the algorithms planning the robots' actions learn policies that would allow ...

Over the past few decades, robots have gradually started making their way into various real-world settings, including some ...

The hope with this approach, a branch of machine learning called “imitation learning,” is that robots will learn a sequence of tasks faster and be able to adapt to real-world environments.

A robot, trained for the first time by watching videos of seasoned surgeons, executed the same surgical procedures as skillfully as the human doctors. The successful use of imitation learning to train ...

"What is new here is we only have to collect imitation learning of different procedures, and we can train a robot to learn it in a couple days," he said. "It allows us to accelerate to the goal of ...

Robots like Atlas, Spot, and Stretch have amazed people with natural, life-like agility and body balance. What they were ...

The robot uses a technique called imitation learning to master procedures like suturing and needle manipulation. This eliminates the need for programmers to code each movement. This advancement ...

AI and robots need data — lots of it. Companies that have millions of users have an advantage in this data collection, because they can use the data of their customers. A well-known example is ...

A robot, trained for the first time by watching videos of seasoned surgeons, executed the same surgical procedures as skillfully as the human doctors. The successful use of imitation learning to ...

A robot, trained for the first time by watching videos of seasoned surgeons, executed the same surgical procedures as skillfully as the human doctors. The successful use of imitation learning to ...