Contenuto principale della pagina Menu di navigazione Modulo di ricerca su uniPi Modulo di ricerca su uniPi

ROBOTICS AND AUTOMATION ENGINEERING Degree Program Profile


Basic Information

Qualification awarded

Laurea Magistrale Degree in ROBOTICS AND AUTOMATION ENGINEERING

Qualification Type/Level

EHEA Second Cycle; EQF level7

Number of Years/credits

2 years; 120 ECTS

Mode of Study

Full-Time/Part-Time*

*All Degree Programmes are planned and organised for full-time students. It is possible, however (without special arrangements), to proceed through the course of study at one's own rhythm. This makes it possible, if necessary, to accommodate employment or other non-university activities or obligations.

Name of Course Director and other contact information

President of the Degree Course Council:
Prof. Andrea Caiti
Email Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo.

Department of INFORMATION ENGINEERING

Internationalization Coordinator (CAI)
Prof. Maria Greco
Email Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo.

Language of Teaching

Italian

Admission Requirements

Formal Requirements

Italian First cycle qualification (Laurea) or foreign equivalent in the same or related subject area, with possible extra work if required competences are lacking.

Possible assessment prior knowledge and competences

Obligatory entrance exam for orientation purposes (non-selective).

Required knowledge and competences support programmes

Students whose curricula show lacuna may need to take extra first cycle course units before admission.

General Information

Programme Profile

The Master Degree in Robotics and Automation Engineering has the objective of providing the graduates with professional skills to design, develop, implement and supervise automation systems for industrial processes and to design, control and operate with industrial robotic systems and mobile robots. The Master's graduate in Robotics and Automation Engineering is characterized by interdisciplinary competences: this peculiarity is relevant for managing complex systems resulting from the interactions of different technologies, typical of the modern dynamics of the system-engineering job market.

Key Learning Outcomes

The Master's graduates in Robotics and Automation Engineering are expected to: - extract and identify formal models from industrial processes and robotic systems for developing control laws; - provide high-level competences for the selection of optimal technologies in the field of control systems and robotics; - design, manage and implement real-time data acquisition and control laws typical of computer-based automation systems; - operate in research and development centers for automation and be able to actively contribute to technological innovation; - be able to design techniques for the analysis and control of discrete event systems and of multivariable and nonlinear control systems, with applications to process and robot control, path planning and multi-agent systems; - extract mathematical and algorithmic tools for solving complex and interdisciplinary problems in technologically advanced plants and systems.

Occupational Profile/s of Graduates

The Master's graduates in Robotics and Automation Engineering find a variety of career fields related to automation engineering such as: -industry producing automatic machines, robotic systems, mechatronic systems, manufacturing systems; - process control; - transportation systems and motion control, - automotive and domotics.

Access to further study

The Laurea Magistrale degree in ROBOTICS AND AUTOMATION ENGINEERING allows the graduate to compete for entry into a Third Cycle programme/doctoral school.

Assessment methods, examination regulations, and grading

Assessment is normally by means of an oral or written examination; in some cases there are intermediate exams during the course; other elements (participation in discussion, written or oral reports, comment of texts etc. ) are foreseen in specific course units and are described in the Course Unit Profiles.
The grading system for the course units consists of 30 possible points, plus 'lode' (cum laude) in case of excellence. Marks are given by the lecturer on the basis of performance as ascertained in a public examination by a board of at least two teachers. Main exam sessions are held in June/July; September; and January; students may resit exams**. Actual grading curves differ in different degree programmes. The University of Pisa provides an ECTS Grading Table, which shows the actual distribution, of examination and final grades among students of each degree programme, in order to facilitate comparison with other grading systems. ---> Link to ECTS Grading Table
An overall mark is given on occasion of the 'Final Exam', when a written research text is presented and discussed. The final overall mark is calculated on the results of the marks obtained in the single course units and the final exam, and is based on 110 possible points, with the possible further mention of honours ("lode" or cum laude).

**The exam sessions are organised in sessions (the dates vary according to the Department and are published in the Department's academic calendar). In each session there are a certain number of 'appelli' [calls], or dates on which the examination for each course unit may be taken. The 'appelli' are fixed by the teacher. The student chooses which of the appelli he or she wishes to respond to. In most cases it is obligatory to sign up before the specified date.

Requirements (regulations) to obtain the qualification

The learner must complete the curriculum/one of the 'curricula' (tracks) as described in the Table below. This includes obligatory and elective course units and other activities for a total of 120 credits.

First-year courses: Digital and process control (12 ECTS)Group A; Probability and stochastic processes (6 ECTS)Group A; Systems and Control Theory (12 ECTS)Group A; Mechanics of Robot Manipulators (6 ECTS)Group A; Electronic systems for automation

Course structure diagram w/credits

Available Tracks

Track CURRICULUM UNICO

Year 1
455AA - PROBABILITY AND STOCHASTIC PROCESSES 6 ECTS
276II - MECHANICS OF ROBOTS 6 ECTS
281II - SYSTEM AND CONTROL THEORY 12 ECTS
713II - CONTROLLO DEI PROCESSI 12 ECTS
Group GRUPPO B - Choice of 6 ECTS from:
    280II - UNDERWATER SYSTEMS 6 ECTS
    271II - VEHICLE DYNAMICS 6 ECTS
    275II - MECHANICS AND MECHATRONICS LABORATORY 6 ECTS
    714II - CONTROLLO DIGITALE 6 ECTS
    712II - ROBOTICA AEROSPAZIALE 6 ECTS
Group GRUPPO A - Choice of 12 ECTS from:
    282II - THERMOFLUIDODYNAMICS AND MACHINES 6 ECTS
    279II - ELECTRONIC SYSTEMS FOR AUTOMATION AND ROBOTICS 6 ECTS
    274II - COMPUTER PROGRAMMING AND REAL-TIME SYSTEMS 6 ECTS
Year 2
277II - ROBOTICS 12 ECTS
263II - CONTROL AND IDENTIFICATION OF UNCERTAIN SYSTEMS 12 ECTS
278II - GUIDANCE AND NAVIGATION SYSTEMS 6 ECTS
271ZW - PROVA FINALE 18 ECTS
Group GRUPPO B - Choice of 6 ECTS from:
    280II - UNDERWATER SYSTEMS 6 ECTS
    271II - VEHICLE DYNAMICS 6 ECTS
    275II - MECHANICS AND MECHATRONICS LABORATORY 6 ECTS
    714II - CONTROLLO DIGITALE 6 ECTS
    712II - ROBOTICA AEROSPAZIALE 6 ECTS

Questo sito utilizza solo cookie tecnici, propri e di terze parti, per il corretto funzionamento delle pagine web e per il miglioramento dei servizi. Se vuoi saperne di più, consulta l'informativa