As part of the second training stage, Liu, Ha and their colleagues tried to speed up the robot's learning of new behaviors. To do this, they used self-guided optimization, an approach that allows ...

Researchers have recently introduced a new approach to self-supervised learning that significantly improves a machine’s ...

Traditional methods of programming robots for surgery are time-consuming and limited in scope. With this new approach, Krieger explains, "We only have to collect imitation learning of different ...

A group of researchers at TU Wein has created a self-learning robot that can imitate people to perform basic chores like washing sinks, and cleaning the floor of the house ...

The field of machine learning is traditionally divided into two main categories: "supervised" and "unsupervised" learning. In supervised learning, algorithms are trained on labeled data, where each ...