Robotic learning has quickly become of automation’s most vibrant categories — and understandably so. Programming a robot has traditionally required a lot of technical know-how, but what if there was a simpler way for non-programmers/roboticists to teach these systems to do what we want?
Imitation and reinforcement learning are two of the most popular methods at the moment. The first involves taking control of the robot to teach it to perform a task, while the second entails training a system on millions of images.
A number of researchers are exploring an even more intuitive method that effectively trains a system by watching a human complete a task. A team …
