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
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
Modules | Credits | TAF | SSD |
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Compulsory activities for Embedded & Iot Systems
Compulsory activities for Smart Systems & Data Analytics
2° Year activated in the A.Y. 2023/2024
Modules | Credits | TAF | SSD |
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Compulsory activities for Embedded & Iot Systems
Compulsory activities for Robotics Systems
Compulsory activities for Smart Systems & Data Analytics
Modules | Credits | TAF | SSD |
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Compulsory activities for Embedded & Iot Systems
Compulsory activities for Smart Systems & Data Analytics
Modules | Credits | TAF | SSD |
---|
Compulsory activities for Embedded & Iot Systems
Compulsory activities for Robotics Systems
Compulsory activities for Smart Systems & Data Analytics
Modules | Credits | TAF | SSD |
---|
3 modules among the following
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.
Robotics (2022/2023)
Teaching code
4S009006
Teacher
Coordinator
Credits
6
Language
English
Scientific Disciplinary Sector (SSD)
ING-INF/05 - INFORMATION PROCESSING SYSTEMS
Period
Semester 1 dal Oct 3, 2022 al Jan 27, 2023.
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
- Actuation and control systems
- Control of a robot in joint space
- Control of a robot in Cartesian space
Bibliography
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
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, Italian