Research at CLIR in machine learning covers a wide range of topics going from applications of classical machine learning algorithms for solving challenging problems in fields such as computer vision, robotics and pattern analysis of bio-metric data, to the theoretical study and design of new learning models.




In CLIR we conduct extensive research in computer vision techniques aimed to solve   challenging problems in robotics, optical metrology and the processing of digital images.




Augmented  reality  is  one of the emerging  technologies  that has demonstrated to be an efficient technological tool to enhance learning techniques.