A Novel Parsimonious Cause-Effect Reasoning Algorithm for Robot Imitation and Plan Recognition.

Manually programming robots is difficult, impeding more widespread use of robotic systems. In response, efforts are being made to develop robots that use imitation learning. With such systems a robot learns by watching humans perform tasks. However, most imitation learning systems replicate a demonstrator's actions rather than obtaining a deeper understanding of why those actions occurred. Here we...