With this function you can construct your weekly calendar of lessons, which is customized on the basis of the courses that you intend to follow. Warning: the personal schedule does not replace the presentation of the study plan! It's an informal tool that can help you better manage the organization of class attendance before the study plan presentation. After the study plan presentation we recommend you to use the Lecture timetable service in your Online Services.
To create your customized schedule follow these instructions:
Click on the "Enable" link to proceed. You will be asked your surname and first name in order to determine your alphabetic grouping.
To add or remove courses from your personal schedule, use the small icons which are found next to the courses:
addition of the course
removal of the course
selection of the section of the Laboratory of Architecture (Note: the effective area in which the teaching will be carried out will be determined after the presentation of the Study Plans)
The sidebar on the left displays the number of lessons included in schedule. There are also these commands:
View the schedule: allows the viewing of the weekly synoptic schedule
Delete the schedule: cancels the selections made
When you have finished the entry, you can print the calendar you have made.
Course completely offered in italian
Course completely offered in english
The credits shown next to this symbol indicate the part of the course CFUs provided with Innovative teaching. These CFUs include:
Subject taught jointly with companies or organizations
Blended Learning & Flipped Classroom
Massive Open Online Courses (MOOC)
School of Industrial and Information Engineering
(Master of Science degree)(ord. 270) - MI (434) Engineering of Computing Systems
T2A - Sistemi e applicazioni dell'Informatica
Credits (CFU / ECTS)
Four areas in the computational aspects of robotics are explored: 1. From teleprogramming to autonomous robots - Interfaces for robots with different autonomy - virtual physical systems and their role in robotics- devices to interact with virtual and physical environments and to get physical feedback- planning and executing tasks2. Design and analysis of robot societies- Collective control of actions and perceptions - Robot communication- Emergence of collective behaviors 3. Cooperation of robots and humans- humanoid robots: design and movement - communication and language- sensing unstructured environments 4. Robot as an evolving system- Biomimetical models- learning in robotsThe basic topics crossing all the areas are:- Reactive, cognitive, and hybrid architectures for autonomous robots- robot action planning- neural systems and models for learning and control - interpretation, mapping, reconstruction from sensor data