Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
The academic calendar shows the deadlines and scheduled events that are relevant to students, teaching and technical-administrative staff of the University. Public holidays and University closures are also indicated. The academic year normally begins on 1 October each year and ends on 30 September of the following year.
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..
For the year 2019/2020
No calendar yet available
Exam dates and rounds are managed by the relevant Science and Engineering Teaching and Student Services Unit.
To view all the exam sessions available, please use the Exam dashboard on ESSE3.
If you forgot your login details or have problems logging in, please contact the relevant IT HelpDesk, or check the login details recovery web page.
The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University. Please select your Study Plan based on your enrolment year.
Training offer to be defined
Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
The course aims to provide the following knowledge: theoretical foundation of physical human-robot interaction (e.g. bilateral teleoperation and force control), with particular attention to the design of control architectures capable of guaranteeing stability even in the presence of uncertainties and communication delays.
At the end of the course the student will have to demonstrate that s/he has the following skills to apply the acquired knowledge:
- analyze the technical characteristics and structural properties of a control system for direct or teleoperated interaction with the environment;
- derive the mathematical model of the physical robot-environment interaction (direct or teleoperated);
- design a control architecture to ensure stability, performance and safety;
- implement the control architecture in simulators (e.g. Matlab/Simulink) and in operating systems tailored to robotic application (e.g. ROS).
Student must also have the ability to define the technical specifications for a physical human robot-interaction system a (direct or teleoperated) and the ability to choose the most appropriate way to design the control architecture.
Student will have to be able to deal with other engineers (e.g. electronic, automatic, mechanical) to design advanced control architectures for complex physical human-robot interaction systems.
Student will have to show ability to continue its studies independently in the context of the design of architectures based on non-linear and adaptive techniques.
Topics that will be addressed during the course:
- passivity theory
- advanced algorithms for teleoperation
- communication time delay compensation
Topics that will be addressed during the lab activity:
- Tuning of PID controllers
- Implementation of velocity estimators
- Data-driven system identification
- Implementation of bilateral teleoperation algorithms in ROS/Matlab-Simulink
The exam will consist of a project addressing some topics discussed during the course. The student should have to implement in ROS (and/or in Matlab/Simulink) a teleoperation algorithm, test it, and prepare a brief technical document explaining his/her work.
To pass the exam, the student should:
- have understood the principles related to the design of a bilateral teleoperation system,
- be able to use the knowledge acquired during the course to solve the assigned problem,
- be able to describe their work by explaining and motivating the design choices.
Type D and Type F activities
Training offer to be defined
News for students
There you will find information, resources and services useful during your time at the University (Student’s exam record, your study plan on ESSE3, Distance Learning courses, university email account, office forms, administrative procedures, etc.). You can log into MyUnivr with your GIA login details.
I servizi e le attività di orientamento sono pensati per fornire alle future matricole gli strumenti e le informazioni che consentano loro di compiere una scelta consapevole del corso di studi universitario.
Computer Science and Informatics: Informatics and information systems, computer science, scientific computing, intelligent systems - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)