Machine Learning, Identification and Estimation

The focus of this area is about developing methodological tools for enabling artificial systems to safely and efficiently operate without or limited need of human intervention. Application areas are the most disparate, ranging from automatic speech or visual recognition systems to robots that are able to interact with an unknown environment while performing assigned tasks, to advanced process control systems (such as, e.g. in the pretrolchemical industry) or biomedical applications such as neuroscience.

 

Homepage: http://automatica.dei.unipd.it/research/system-identification.html

 

People:
Alessandro Chiuso (contact person),
Augusto Ferrante, Michele Pavon, Gianluigi Pillonetto, Giorgio Picci, Gian Antonio Susto, Mattia Zorzi