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.
Academic calendar
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.
Course calendar
The Academic Calendar sets out the degree programme lecture and exam timetables, as well as the relevant university closure dates..
Period | From | To |
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Primo semestre | Oct 4, 2021 | Jan 28, 2022 |
Secondo semestre | Mar 7, 2022 | Jun 10, 2022 |
Session | From | To |
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Sessione invernale d'esame | Jan 31, 2022 | Mar 4, 2022 |
Sessione estiva d'esame | Jun 13, 2022 | Jul 29, 2022 |
Sessione autunnale d'esame | Sep 1, 2022 | Sep 30, 2022 |
Period | From | To |
---|---|---|
Festa di Tutti i Santi | Nov 1, 2021 | Nov 1, 2021 |
Festa dell'Immacolata Concezione | Dec 8, 2021 | Dec 8, 2021 |
Festività natalizie | Dec 24, 2021 | Jan 2, 2022 |
Festa dell'Epifania | Jan 6, 2022 | Jan 7, 2022 |
Festività pasquali | Apr 15, 2022 | Apr 19, 2022 |
Festa della Liberazione | Apr 25, 2022 | Apr 25, 2022 |
Festa di San Zeno - S. Patrono di Verona | May 21, 2022 | May 21, 2022 |
Festa della Repubblica | Jun 2, 2022 | Jun 2, 2022 |
Chiusura estiva | Aug 15, 2022 | Aug 20, 2022 |
Exam calendar
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.
Academic staff
Study Plan
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
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2° Year activated in the A.Y. 2022/2023
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3° Year activated in the A.Y. 2023/2024
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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.
Integrated development of devices and collaborative robots for the biomendical industry (2023/2024)
Teaching code
4S009881
Academic staff
Coordinator
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
ING-INF/04 - SYSTEMS AND CONTROL ENGINEERING
Period
Semester 1 dal Oct 2, 2023 al Jan 26, 2024.
Courses Single
Authorized
Learning objectives
The course introduces the basic knowledge to develop, design, produce, and assemble medical devices, with particular reference to the use and control of collaborative robots in the medical and biomedical environment. The course develops the basic skills to set up a product development project, considering both the mechanical and structural aspects and the control and management aspects.
Prerequisites and basic notions
None
Program
Industrial Robotics fundamentals
- Introduction to robotics: What is a robot? Robots History. Robot classification. Evolution toward Industrial robots. Other kind of robots: service robots, exoskeletons. Medical robotics.
- Robot’s functional units: Mechanical Structure: joints, links, end-effector, workspace, robot classification based on joint arrangement. Overview of functional units of a robot: sensors, actuators, etc.
- Kinematics of a rigid body: Position and orientation of a rigid body. Reference frames. Rotation matrices (properties, composition, and interpretations). Derivative of a rotation matrix. Minimal representations of orientation. Skew-symmetric matrices. Euler angles. Relation between Euler rates and angular velocity. Unit quaternions.
- Manipulator direct kinematics: Definition of forward and inverse kinematics. Joint, task and actuation spaces. Generalized coordinates. Denhavit-Hartenberg notation. Forward kinematics of robot manipulators. Homogeneous transformations (properties, composition and interpretations). Inverse of a homogeneous transformation matrix. Frame placement. Direct kinematics of a kinematic chain.
- Inverse Kinematics: Definition of inverse kinematics. Solvability and workspace. Closed form (analytical) solutions. Examples.
- Direct Differential Kinematics: Linear and angular velocity of a rigid body. Linear and angular velocity of a manipulator link driven from prismatic or revolute joints. Contribution of prismatic and revolute joints to end-effector velocity. The Geometric Jacobian. The Analytical Jacobian. Relationship between Geometric and Analytical Jacobian.
- Redundancy and Singularities: Definition of redundancy. Redundant manipulators. Primer on linear algebra sub-spaces. The pseudo-inverse. Geometric interpretation of inverse kinematics mapping. Singular values. Definition of singularity. Types of singularities. Inverse differential kinematics and singularities. Damped least-squares method. Higher order differential inversion.
Simulation of robotic solutions
- Fundamental components of a robotic system. Collaborative robotics and safety of human-robot interaction (the main safety standards). Examples of collaborative robotics solutions applied to the biomedical field. The design process of robotic solutions.
- Tools for the simulation and analysis of robotic solutions. Presentation of ROS - Robot Operating System. Configuration and first steps.
- Implementation of a manipulation solution with ROS. Setup of ROS environment. Python fundamentals. ROS environment architecture and first exercises. Matrix transformations. Modeling of serial manipulators - URDF file - with examples on Denhavit-Hartenberg convention application and URDF modeling to commercial robots. Trajectory planning - MoveIt and Gazebo. Preparing robotic environments in Gazebo - objects modeling. Modeling of robot grippers. Modeling of vision systems (cameras) for object localization. Python scripts for defining robot trajectories. Setup and simulation of a pick and place process.
Bibliography
Didactic methods
The teaching includes theoretical and laboratory lectures. The lectures will be held in the classroom/laboratory with streaming sharing. At the end of the lectures, the recordings are made available on the moodle/panotopo platform. During the theoretical and laboratory lectures, exercises will be carried out to consolidate the learning of theoretical notions. The laboratory activity presents and uses open-source simulation tools widely used by the scientific community, such as ROS environment and apps and Python programming language. Along the laboratory activities, a whole case study will be implemented. To stimulate the constant and active participation of students, exercises will be proposed. Teaching material developed from reference books provided during lessons.
Learning assessment procedures
The exam is composed by two different tests. A written test to evaluate theoretical skills (multiple option questions and/or open questions) – duration 90 minutes. A second test which consists in the oral discussion of a robotic project: project group realted to the simulation of a robotic process developed in the ROS environment - it requieres to deliver the ROS code and the presentation before the day of oral discussion - duration of the oral presentation 20 minutes.
Evaluation criteria
To pass the exam, students will have to demonstrate that they understand the fundamental mathematical modeling used in industrial robotics - matrix calculus, extrapolation of DH parameters, exercises for direct/inverse kinematics derivation. Furthermore, they must demonstrate knowledge of ROS by answering theoretical questions related to the structure of the environment.
To asses practical skills, students should demonstrate to implement a simulation in the ROS environment using material collected autonomously as well as models and scripts presented during the laboratory lectures.
Criteria for the composition of the final grade
The two tests will be evaluated separately. The final grade is obtained as the arithmetic mean between the two tests - which must have both a positive grade. The evaluation of the oral presentation of the project can provide for the differentiation of the grade between the project participants.
Exam language
Italiano
Type D and Type F activities
Le attività formative di tipologia D sono a scelta dello studente, quelle di tipologia F sono ulteriori conoscenze utili all’inserimento nel mondo del lavoro (tirocini, competenze trasversali, project works, ecc.). In base al Regolamento Didattico del Corso, alcune attività possono essere scelte e inserite autonomamente a libretto, altre devono essere approvate da apposita commissione per verificarne la coerenza con il piano di studio. Le attività formative di tipologia D o F possono essere ricoperte dalle seguenti attività.
1. Insegnamenti impartiti presso l'Università di Verona
Comprendono gli insegnamenti sotto riportati e/o nel Catalogo degli insegnamenti (che può essere filtrato anche per lingua di erogazione tramite la Ricerca avanzata).
Modalità di inserimento a libretto: se l'insegnamento è compreso tra quelli sottoelencati, lo studente può inserirlo autonomamente durante il periodo in cui il piano di studi è aperto; in caso contrario, lo studente deve fare richiesta alla Segreteria, inviando a carriere.scienze@ateneo.univr.it il modulo nel periodo indicato.
2. Attestato o equipollenza linguistica CLA
Oltre a quelle richieste dal piano di studi, per gli immatricolati A.A. 2021/2022 e A.A. 2022/2023 vengono riconosciute:
- Lingua inglese: vengono riconosciuti 3 CFU per ogni livello di competenza superiore a quello richiesto dal corso di studio (se non già riconosciuto nel ciclo di studi precedente).
- Altre lingue e italiano per stranieri: vengono riconosciuti 3 CFU per ogni livello di competenza a partire da A2 (se non già riconosciuto nel ciclo di studi precedente).
Tali cfu saranno riconosciuti, fino ad un massimo di 3 cfu complessivi, di tipologia D. Solo nel caso in cui la data di acquisizione della certificazione sia precedente al 27/10/2023 (data della delibera del Collegio didattico di Ingegneria dell'Informazione) potranno essere riconosciuti un massimo di 6 CFU, come precedentemente previsto. Ulteriori crediti a scelta per conoscenze linguistiche potranno essere riconosciuti solo se coerenti con il progetto formativo dello studente e se adeguatamente motivati.
Per gli immatricolati A.A. 2023/2024 i crediti per certificazioni linguistiche ulteriori a quelle previste dal piano didattico vengono riconosciuti come crediti sovrannumerari taf D.
Modalità di inserimento a libretto: richiedere l’attestato o l'equipollenza al CLA e inviarlo alla Segreteria Studenti - Carriere per l’inserimento dell’esame in carriera, tramite mail: carriere.scienze@ateneo.univr.it
3. Competenze trasversali
Scopri i percorsi formativi promossi dal TALC - Teaching and learning center dell'Ateneo, destinati agli studenti regolarmente iscritti all'anno accademico di erogazione del corso https://talc.univr.it/it/competenze-trasversali
Modalità di inserimento a libretto: non è previsto l'inserimento dell'insegnamento nel piano di studi. Solo in seguito all'ottenimento dell'Open Badge verranno automaticamente convalidati i CFU a libretto. La registrazione dei CFU in carriera non è istantanea, ma ci saranno da attendere dei tempi tecnici.
4. Periodo di stage/tirocinio
Oltre ai CFU previsti dal piano di studi (verificare attentamente quanto indicato sul Regolamento Didattico): qui il VADEMECUM DELLE ATTIVITÀ DI TIROCINIO (indirizzo email della Commissione tirocini: tirocini-ismp@ateneo.univr.it ); qui la relativa pagina informativa (con link a moodle); qui informazioni su come attivarlo.
Insegnamenti e altre attività che si possono inserire autonomamente a libretto
years | Modules | TAF | Teacher |
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1° | Subject requirements: mathematics | D |
Franco Zivcovich
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Career prospects
Module/Programme news
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: only in this way will you be able to receive notification of all the notices from your teachers and your secretariat via email and also via the Univr app.
Attendance modes and venues
The inter-university nature of the course of study lies in the cooperation of the three universities in the provision of faculty. Therefore, teaching delivery takes place at the administrative and teaching site in Verona and not in the partner universities. This means that it is not possible to attend this bachelor's degree program in the University of Trento or Modena-Reggio Emilia; however, it is possible to use the study spaces of the partner universities, thanks to the agreement between them.
As stated in the Didactic Regulations, course attendance is not mandatory.
Part-time enrolment is permitted. Find out more on the Part-time enrolment possibilities page.
The course's teaching activities take place in the Science and Engineering area, which consists of the buildings of Ca‘ Vignal 1, Ca’ Vignal 2, Ca' Vignal 3 and Piramide, located in the Borgo Roma campus.
Lectures are held in the classrooms of Ca‘ Vignal 1, Ca’ Vignal 2 and Ca' Vignal 3, while practical exercises take place in the teaching laboratories dedicated to the various activities.
Career management
Student login and resources
Erasmus+ and other experiences abroad
Graduation
The final exam carries 6CFU.
The final exam is taken at the presence of two faculty members, including the Supervisor, and consists of one or both of the following options:
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A brief written report, which may also be in English, describing the thesis work;
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An oral presentation, supported by slides (such as PowerPoint), that illustrates the thesis work, which may also be in English.
Following the exam, the graduation takes place on the dates set in the Academic Calendar.
The final degree score is determined by a Graduation Committee composed of at least three faculty members, including the supervisor. The supervisor can be any tenured professor from the University of Verona, the University of Modena and Reggio Emilia, or the University of Trento. Committee members must belong to a scientific-disciplinary sector (SSD) within the degree programme plan.
The Graduation Committee assigns a final grade on a scale of 110, with the possibility of honors. The minimum score required to pass the final exam is 66/110. The admission grade is determined by converting the weighted average of the course grades (based on CFUs) to a 110-point scale and rounding to the nearest whole number. There may be an increase of up to Studying at the University of Verona – Graduation
The final exam carries 6CFU.
The final exam is taken at the presence of two faculty members, including the Supervisor, and consists of one or both of the following options:
-
A brief written report, which may also be in English, describing the thesis work;
-
An oral presentation, supported by slides (such as PowerPoint), that illustrates the thesis work, which may also be in English.
Following the exam, the graduation takes place on the dates set in the Academic Calendar.
The final degree score is determined by a Graduation Committee composed of at least three faculty members, including the supervisor. The supervisor can be any tenured professor from the University of Verona, the University of Modena and Reggio Emilia, or the University of Trento. Committee members must belong to a scientific-disciplinary sector (SSD) within the degree programme plan.
The Graduation Committee assigns a final grade on a scale of 110, with the possibility of honors. The minimum score required to pass the final exam is 66/110. The admission grade is determined by converting the weighted average of the course grades (based on CFUs) to a 110-point scale and rounding to the nearest whole number. There may be an increase of up to 8/110 points on the admission grade, with the final exam being worth up to 4 of points, and 4 points for the evaluation of the student's academic curriculum.
The evaluation of the academic curriculum is based on the following criteria (which positively account for honors and Erasmus periods and negatively for any delays in the course of study):
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If on time: 3.5 + 0.2 * number of honors;
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If delayed: 3.5 - 0.5 * number of extra years + 0.1 * number of honors;
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1 point for every 3 months of completed Erasmus study.
Additionally, 2 extra points will be awarded for completing at least 12 CFU at foreign universities.
In any case, the total increase from the evaluation of the thesis and the academic record cannot exceed 8 points.
The award of final honors, in the case of a score of at least 110, is at the discretion of the Graduation Committee and is only granted if the committee's decision is unanimous.