System Identification using Dynamic Expectation Maximization: From neuroscientific principle towards filtering and identification under the presence of correlated noise

A fundamental task of intelligent and autonomous robots is to infer from observations the state of the world. This inference is generally achieved by employing a filter, which consists of a model and filtering law. Learning this model and filtering law from observations is another fundamental part of robotics, and is generally referred to as...