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Master in Artificial Intelligence and Robotics
Elective in Artificial Intelligence
Proff. Barbara Caputo, Luca Iocchi, Paolo Liberatore, Fiora Pirri
A.Y. 2016/2017
Description of the course
The course gives 12 credits and is structured in the following four sections (please refer to each of the sections following the links in this page for additional details, including exams).
Exams
Each section has specific dates (check each section web-site).
Book through Infostud only when you have passed all the sections.
For A.Y. 2016/2017 the Professor in charge of the registration is
Prof. Luca Iocchi.
Any request for change of the modules should be addressed to him.
Sections
(more details on the right frame)
Visual Learning: Recognition- Prof. Barbara Caputo
Human Robot Interaction - Prof. Luca Iocchi
Automated Reasoning - Prof. Paolo Liberatore
Introduction to Pattern Recognition- Prof. Fiora Pirri
Prof. Barbara Caputo
3 Credits - II Semester
Schedule:
Programme:
This course will provide the students with a unified view on max-margin based techniques that enable the construction of visual recognition algorithms for intelligent systems. The course will discuss the specific requirements of vision for such systems while introducing methods for categorization, localization, adaptive learning and scene understanding.
Prof. Luca Iocchi
3 Credits - II Semester
Schedule:
Programme:
Applications involving robots interacting with people are gaining increasing interest. The course will provide an overview of recent methods and techniques for Human-Robot Interaction and Social Robotics. Several interaction modalities will be discussed in the course, including: vision, speech, body motion, user interfaces, etc.
Prof. Paolo Liberatore
3 Credits - I Semester
Introduction to Pattern Recognition
Prof. Fiora Pirri
3 Credits - II Semester