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.
Type D and Type F activities
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 interateneo in Ingegneria dei sistemi medicali per la persona - Enrollment from 2025/2026Students can choose the type D training activities among a catalogue of courses, while type F activities provide additional knowledge useful for entering the job market (internships, transferable skills, project works, etc.). According to the Degree Programme description and regulation, some activities can be chosen and added autonomously by the students to the academic record, whereas others must be approved by a committee to verify their coherence with the study plan. Type D or F training activities can be covered by the following activities:
1. Courses offered at the University of Verona:
This includes the course listed below and/or in the Course Catalogue (which can be filtered by language using advanced search)
Procedure for adding courses to the academic record: Ig the course is among those listed below or in the Catalogue, the student can add it independently when the study plan is open for modifications; otherwise, the student must request approval from the Student Office by sending the form to carriere.scienze@ateneo.univr.it during the specified periods.
Starting from students enrolled in the Academic Year 2022/2023, courses offered in the 2nd and 3rd years of the study plan can be autonomously added to the academic record.
There is no need to submit the request to add the following courses to the academic record to the “Commissione Pratiche Studenti”: Database and Web (BSc in Bioinformatics); General Biology (BSc in Bionformatics); Molecular Biology (BSc in Bioinformatics); Probaility and Statistics (BSc in Computer Science); Programming and Network Security (BSc in Computer Science).
2. CLA Language Certification or Equivalence
Beside to to those already required by the study plan, the following language certifications can be added as additional training activities for students enrolled in the academic years 2021/2022 and 2022/2023:
English language: 3 CFU will be granted for each level of proficiency above the level required by the study program (if not already granted in the previous degree programme).
Other languages and Italian for foreigners: 3 CFU will be granted for each level of proficiency starting from A2 (if not already granted in the previous degree programme).
These CFU will be granted as type D activities and up to a 3 CFU in total. In case the language certification is dated prior to 27/10/2023 (date of the vote of the Teaching Board of Information Engineering) the maximum CFU to be granted can be extended to 6, as for previous regulation. Additional credits for language knowledge can only be granted if consistent with the student's educational project and adequately justified.
For students enrolled in the academic year 2023/2024, credits for language certifications beyond those specified in the teaching plan will be recorded as extra type D CFU.
Procedure for adding the relevant academic record: Request the certificate or equivalence certificate to the CLA and send it to the Student Administration Office via email (carriere.scienze@ateneo.univr.it) for the exam to be recorded.
3. Transferable Skills
Discover the training paths promoted by TALC – Teaching and Learning Center of the University, intended for students regularly enrolled in the Academic Year offering the modules https://talc.univr.it/en/competenze-trasversali
Procedure for adding the relevant academic record: the modules will not be added to the study plan, but CFU will be granted after obtaining the Open Badge. The procedure may require a certain amount of time to reach a conclusion.
4. Contamination Lab
The Contamination Lab Verona (CLab Verona) is an experiential program with modules dedicated to innovation and corporate culture that offers the opportunity to work in teams with students from all degree programs to solve challenges posed by companies and organizations. The program allows receiving 6 type D or F CFU. Discover the challenges: https://www.univr.it/en/clabverona.
NOTE: To be admitted to any educational activity, including electives, students must be enrolled in the specific Academic Year of the course being offered. Therefore, it is recommended that those who foresee to graduate December and April sessions do NOT undertake extracurricular activities for the new Academic Year in which they are not enrolled, as these graduation sessions are valid for the previous Academic Year. Therefore, modules carried out in an Academic Year when the students is not enrolled with the University of Verona, the relevant CFU will not be recorded.
5. Internship/Stage and other activities
The student must complete a 7 CFU internship and attend a 2 CFU module on “Medical Systems Seminars”.
Annually, the Internship Committee (tirocini-ismp@ateneo.univr.it) proposes a list of internship projects from which students can choose in line with their study plan and interests. The list can be complemented, after the approval of the Internship Committee, with proposals made by students who independently look for internship opportunities within the departments of the universities involved in the Degree programme, or within external organizations/companies. The management of the internship process is detailed in the Vademecum delle Attività di Tirocinio. Here is the relevant information page (with a link to Moodle) and here the general information on how to activate an internship.
Please note that for internships starting from October 1, 2024 with external partners/company, extra hours can lead to extra type D CFU.
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 2° 3° | Fundamentals of Movement Analysis | D |
Iacopo Tamellin
(Coordinator)
|
| 2° 3° | Introduction to quantum mechanics for quantum computing | D |
Claudia Daffara
(Coordinator)
|
| 2° 3° | Python programming language [English edition] | D |
Carlo Combi
(Coordinator)
|
| 2° 3° | BEYOND ARDUINO: FROM PROTOTYPE TO PRODUCT WITH STM MICROCONTROLLER | D |
Franco Fummi
(Coordinator)
|
| 2° 3° | APP REACT PLANNING | D |
Graziano Pravadelli
(Coordinator)
|
| 2° 3° | HW components design on FPGA | D |
Franco Fummi
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 2° 3° | LaTeX Language | D |
Enrico Gregorio
(Coordinator)
|
| 2° 3° | Python programming language [Edizione in italiano] | D |
Carlo Combi
(Coordinator)
|
| 2° 3° | Rapid prototyping on Arduino | D |
Franco Fummi
(Coordinator)
|
| 2° 3° | Tools for development of applications of virtual reality and mixed | D |
Andrea Giachetti
(Coordinator)
|
| 2° 3° | Development and life cycle of software of artificial intelligence software | D |
Marco Cristani
(Coordinator)
|
| 2° 3° | Protection of intangible assets (SW and invention)between industrial law and copyright | D |
Mila Dalla Preda
(Coordinator)
|
| years | Modules | TAF | Teacher |
|---|---|---|---|
| 1° | Subject requirements: physics | D |
Elisa Artegiani
(Coordinator)
|
| 1° | Subject requirements: mathematics | D |
Franco Zivcovich
(Coordinator)
|
Integrated development of devices and collaborative robots for the biomedical industry (2024/2025)
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 1, 2024 al Jan 31, 2025.
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 60 minutes. A second test which consists in the oral discussion of a robotic project: project group realted to the development and simulation of a robotic process developed in 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 written test allows you to obtain a maximum mark of 30/30.
The poject presentation allows the student group to obtain a maximum mark of 33/30. The evaluation of the oral presentation of the project can provide for the differentiation of the grade between the project participants.
The final grade is obtained as the arithmetic mean between the two tests - which must have both a positive grade (grade >=18). Honors awarded with average higher than 30/30.
Exam language
Prova scritta - Italiano; presentazione progetto - a scelta degli studenti, Italiano o Inglese Written test - Italian; project discussion - you are free to choose between English or Italian
Sustainable Development Goals - SDGs
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