Studying at the University of Verona

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.

This information is intended exclusively for students already enrolled in this course.
If you are a new student interested in enrolling, you can find information about the course of study on the course page:

Laurea magistrale in Ingegneria e scienze informatiche - Enrollment from 2025/2026

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 enrollment year.

CURRICULUM TIPO:

1° Year 

ModulesCreditsTAFSSD
12
B
ING-INF/05
6
B
ING-INF/05
6
B
ING-INF/05
12
B
ING-INF/05

2° Year   activated in the A.Y. 2014/2015

ModulesCreditsTAFSSD
6
B
INF/01
Altre attivita' formative
4
F
-
ModulesCreditsTAFSSD
12
B
ING-INF/05
6
B
ING-INF/05
6
B
ING-INF/05
12
B
ING-INF/05
activated in the A.Y. 2014/2015
ModulesCreditsTAFSSD
6
B
INF/01
Altre attivita' formative
4
F
-
Modules Credits TAF SSD
Between the years: 1°- 2°

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.




S Placements in companies, public or private institutions and professional associations

Teaching code

4S00078

Credits

6

Language

Italian

Scientific Disciplinary Sector (SSD)

INF/01 - INFORMATICS

Period

II sem. dal Mar 2, 2015 al Jun 12, 2015.

Learning outcomes

The course objective is to give students a few advanced concepts of robotics and teleoperation, building on the basic knowledge acquired in the "Non-visual Interaction" course. Lectures will be given in a seminar form, to simplify student interaction and involvement.

Program

Some of the advanced topics that will be addressed during the course include:
- manipulator dynamics and modeling algorithms
- motion control (independent PD, PD+gravity compensation)
- force control (force and impedance)
- passivity theory
- advanced algorithms for teleoperation (hybrid, passivity)
- communication time delay compensation
- motion planning algorithms
- use of numerical simulation methods in robotics.

Examination Methods

The exam will consist of a project addressing some topics discussed during the course.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Teaching materials e documents