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/04
9
C
ING-IND/13 ,ING-IND/35
9
B
ING-INF/05
Compulsory activities for Smart Systems & Data Analytics
6
B
INF/01 ,ING-INF/06
6
B
ING-INF/05
Compulsory activities for Robotics Systems
6
B
INF/01
6
B
ING-INF/05
Compulsory activities for Embedded & Iot Systems
6
B/C
ING-INF/05
6
B/C
ING-INF/05

2° Year  activated in the A.Y. 2024/2025

ModulesCreditsTAFSSD
Compulsory activities for Embedded & Iot Systems
6
B/C
INF/01
6
B/C
ING-INF/05
Compulsory activities for Robotics Systems
6
B/C
ING-INF/04
6
B/C
ING-INF/05
Compulsory activities 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/04
9
C
ING-IND/13 ,ING-IND/35
9
B
ING-INF/05
Compulsory activities for Smart Systems & Data Analytics
6
B
INF/01 ,ING-INF/06
6
B
ING-INF/05
Compulsory activities for Robotics Systems
6
B
INF/01
6
B
ING-INF/05
Compulsory activities for Embedded & Iot Systems
6
B/C
ING-INF/05
6
B/C
ING-INF/05
activated in the A.Y. 2024/2025
ModulesCreditsTAFSSD
Compulsory activities for Embedded & Iot Systems
6
B/C
INF/01
6
B/C
ING-INF/05
Compulsory activities for Robotics Systems
6
B/C
ING-INF/04
6
B/C
ING-INF/05
Compulsory activities 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
F
-
Between the years: 1°- 2°
3 modules among the following (Computer vision and Human computer interaction 1st year only; Advanced computer architectures 2nd year only; the other courses both 1st and 2nd year. A.A. 2024/2025: Data visualization, Systems design laboratory and Electronic devices and sensors are not activated)
6
C
INF/01
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 ,ING-INF/06
6
C
INF/01
6
C
ING-IND/16
6
C
INF/01
6
C
INF/01 ,ING-INF/06
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°
Further activities. International students (ie students who do not have an Italian bachelor’s degree) must compulsorily gain 3 credits of Italian language skills
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  (2023/2024)

Teaching code

4S009006

Teacher

Andrea Calanca

Coordinator

Andrea Calanca

Credits

6

Language

English en

Scientific Disciplinary Sector (SSD)

ING-INF/05 - INFORMATION PROCESSING SYSTEMS

Period

Semester 1 dal Oct 2, 2023 al Jan 26, 2024.

Courses Single

Authorized

Lessons timetable MoodleMoodle Seminars 0

Learning objectives

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.

Prerequisites and basic notions

Physics (Newtonian Mechanics), Algebra, Control Theory

Program

- Direct kinematics of a manipulator
- Inverse kinematics of a manipulator
- Differential kinematics
- Kinematic redundancy
- Control of a robot in joint space
- Control of a robot in Cartesian space

Didactic methods

The course is carried out in about 48 hours of frontal lessons in which the fundamental theoretical concepts will be introduced and exercises will be solved, fostering discussion with students. Students on certified Covid quarantine can contact the teacher for additional materials.

Learning assessment procedures

The exam will consist of
Part 1. carrying out exercises at the whiteboard or on paper
Part 2. oral questions on theoretical topics

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

Evaluation criteria

The mark will be expressed as the average of the evaluations related to Part 1 and Part 2.

Criteria for the composition of the final grade

The course is offered as a single module.

Exam language

English or Italian