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
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 magistrale in Ingegneria e scienze informatiche - Enrollment from 2025/2026The 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. 2016/2017
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Due insegnamenti a scelta
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.
Advanced Robotics (2016/2017)
Teaching code
4S003739
Academic staff
Coordinator
Credits
6
Language
Italian
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
Period
II sem. dal Mar 1, 2017 al Jun 9, 2017.
Learning outcomes
The course objective is to give students a few advanced concepts of robotics and teleoperation. Lectures will be given in a seminar form, to simplify student interaction and involvement. During the lab activities, students will learn how to implement advanced algorithms using the Robot Operating System (ROS).
At the end of the course, the students will be able to
- design a controller for electromechanical systems (e.g. electric motor),
- develop and implement advanced algorithms for bilateral teleoperation in ROS.
Program
THEORY. Some of the advanced topics that will be addressed during the course include:
- manipulator dynamics
- motion control (PID)
- force control (force and impedance)
- passivity theory
- advanced algorithms for teleoperation
- communication time delay compensation
LABORATORY.
- Tuning of PID controller
- Implementation of velocity estimators
- Data-driven system identification
- Implementation of bilateral teleoperation algorithms
TEACHING AIDS: During the course, lecture notes, slides and scientific papers will be provided.
Examination Methods
The exam will consist of a project addressing some topics discussed during the course.
Teaching materials e documents
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Bode Chapter (zip, it, 353 KB, 3/19/17)
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Chopra-Spong-Lozano Algorithm (zip, it, 544 KB, 5/18/17)
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DC motors (zip, it, 2150 KB, 3/19/17)
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Franken et al Algorithm (zip, it, 1281 KB, 5/24/17)
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Kalman filtering (zip, it, 333 KB, 4/10/17)
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Lee Huang Algorithm (zip, it, 961 KB, 5/24/17)
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Lee Spong Algorithm (zip, it, 724 KB, 5/13/17)
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Niemeyer-Slotine Algorithm (zip, it, 640 KB, 5/3/17)
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Nyquist Chapter (zip, it, 482 KB, 4/2/17)
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Passivity (zip, it, 390 KB, 4/2/17)
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PID Chapter (zip, it, 244 KB, 3/19/17)
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PID controllers (zip, it, 566 KB, 3/19/17)
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Ryu Artigas Preusche Algorithm (zip, it, 831 KB, 5/24/17)
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Specs Chapter (zip, it, 329 KB, 3/19/17)
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Teleoperation Introduction Part 1 (zip, it, 2854 KB, 3/19/17)
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Teleoperation Introduction Part 2 (zip, it, 1488 KB, 3/19/17)