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.

Study Plan

A.A. 2023/2024 A.A. 2022/2023 A.A. 2021/2022 A.A. 2020/2021

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.

1° Year

ModulesCreditsTAFSSD
9
B
ING-INF/05
9
B
ING-INF/05
9
B
ING-INF/04
9
C
ING-IND/13 ,ING-IND/35
Compulsory courses for Embedded & IoT Systems
6
B
ING-INF/05
6
B
ING-INF/05
Compulsory courses for Robotics systems
6
B/C
INF/01
6
B/C
ING-INF/05
Compulsory courses for Smart systems &data analytics
6
B/C
INF/01 ,ING-INF/06
6
B/C
ING-INF/05

2° Year  activated in the A.Y. 2021/2022

ModulesCreditsTAFSSD
Compulsory courses for Embedded & IoT Systems
6
B/C
INF/01
6
B/C
ING-INF/05
Compulsory courses for Robotics systems
6
B/C
ING-INF/04
6
B/C
ING-INF/05
Compulsory courses for Smart systems &data analytics
6
B/C
ING-INF/05
6
B/C
ING-INF/05
Final exam
24
E
-
ModulesCreditsTAFSSD
9
B
ING-INF/05
9
B
ING-INF/05
9
B
ING-INF/04
9
C
ING-IND/13 ,ING-IND/35
Compulsory courses for Embedded & IoT Systems
6
B
ING-INF/05
6
B
ING-INF/05
Compulsory courses for Robotics systems
6
B/C
INF/01
6
B/C
ING-INF/05
Compulsory courses for Smart systems &data analytics
6
B/C
INF/01 ,ING-INF/06
6
B/C
ING-INF/05
activated in the A.Y. 2021/2022
ModulesCreditsTAFSSD
Compulsory courses for Embedded & IoT Systems
6
B/C
INF/01
6
B/C
ING-INF/05
Compulsory courses for Robotics systems
6
B/C
ING-INF/04
6
B/C
ING-INF/05
Compulsory courses for Smart systems &data analytics
6
B/C
ING-INF/05
6
B/C
ING-INF/05
Final exam
24
E
-
Modules Credits TAF SSD
Between the years: 1°- 2°
3 courses to be chosen among the following
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
INF/01
6
C
ING-INF/01
6
C
INF/01
6
C
ING-IND/16
6
C
INF/01
6
C
INF/01 ,ING-IND/34
6
C
INF/01
6
C
INF/01
6
C
SECS-P/10
Between the years: 1°- 2°
12
D
-
Between the years: 1°- 2°
Other activities
3
F
-
Between the years: 1°- 2°
Training
3
F
-

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.

A Basic activities
B Characterizing activities
C Related or complementary activities
D Activities to be chosen by the student
E Final examination
F Other training activities
S Placements in companies, public or private institutions and professional associations

Robotics (2020/2021)

Teaching code

4S009006

Credits

6

Coordinator

Paolo Fiorini

Language

English en

Also offered in courses:

  • Robotics of the course Master's degree in Computer Science and Engineering
  • Robotics of the course Master's degree in Computer Science and Engineering

Scientific Disciplinary Sector (SSD)

ING-INF/05 - INFORMATION PROCESSING SYSTEMS

MoodleMoodle Seminars 0

The teaching is organized as follows:

Teoria

Credits

5

Period

I semestre

Academic staff

Andrea Calanca, Paolo Fiorini

Lessons timetable
Laboratorio

Credits

1

Period

I semestre

Academic staff

Andrea Calanca

Lessons timetable

Learning outcomes

The course aims at providing tools for programming complex robotics systems focusing on perception, planning and control, using a unified approach between theory and practice.

At the end of the course the student will demonstrate ability to understand and implement perception, planning and control algorithms using established methodologies and tools for robot programming.

Program

* Introduction to the course * Spatial kinematics * Direct kinematic of a manipulator arm * Inverse kinematics of a manipulator * Differential kinematics * Robot dynamics * Robot control The course consists of about 40 hours of lecture, with presentaiton of the main concepts, carried out meaningful examples, and develop discussions with the students.

Bibliography

Reference texts
Activity Author Title Publishing house Year ISBN Notes
Teoria L. Sciavicco e B. Siciliano Robotica Industriale -- Modellistica e Controllo di Manipolatori (Edizione 2) McGraw Hills 2002

Examination Methods

The exam will be written and will include a project agreed upon with the teacher.


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