Training and Research

PhD Programme Courses/classes

Non monotonic reasoning

Credits: 3

Language: English

Teacher:  Matteo Cristani

Sustainable Embodied Mechanical Intelligence

Credits: 3

Language: English

Teacher:  Giovanni Gerardo Muscolo

Brain Computer Interfaces

Credits: 3

Language: English

Teacher:  Silvia Francesca Storti

A practical interdisciplinary PhD course on exploratory data analysis

Credits: 4

Language: English

Teacher:  Prof. Vincenzo Bonnici (Università di Parma)

Multimodal Learning and Applications

Credits: 5

Language: English

Teacher:  Cigdem Beyan

Introduction to Blockchain

Credits: 3

Language: English

Teacher:  Sara Migliorini

Autonomous Agents and Multi-Agent Systems

Credits: 5

Language: English

Teacher:  Alessandro Farinelli

Cyber-physical systems security

Credits: 3

Language: English/Italian

Teacher:  Massimo Merro

Foundations of quantum languages

Credits: 3

Language: English

Teacher:  Margherita Zorzi

Advanced Data Structures for Textual Data

Credits: 3

Language: English

Teacher:  Zsuzsanna Liptak

AI and explainable models

Credits: 5

Language: English

Teacher:  Gloria Menegaz, Lorenza Brusini

Automated Software Testing

Credits: 4

Language: English

Teacher:  Mariano Ceccato

Elements of Machine Teaching: Theory and Appl.

Credits: 3

Language: English

Teacher:  Ferdinando Cicalese

Introduction to Quantum Machine Learning

Credits: 4

Language: English

Teacher:  Alessandra Di Pierro

Laboratory of quantum information in classical wave-optics analogy

Credits: 3

Language: English

Teacher:  Claudia Daffara

Credits

3

Language

English

Class attendance

Free Choice

Location

VERONA

Learning objectives

This Ph.D. course provides an overview on modelling and design of sustainable mechanisms, machines, and robots using the embodied mechanical intelligence approach.

Prerequisites and basic notions

Basic knowledge of Mathematics, Physics, and Control.

Program

• An Introduction to Embodied Mechanical Intelligence and Sustainability
• Fundamentals of Mechanics and Mechanical Intelligence
• Functional Design of Sustainable Machines
• An Introduction to Mechanism and Machine Theory
• Elements of Dynamic of Machinery
• Examples of Sustainable Embodied Mechanical Intelligence Projects

Didactic methods

The Ph.D. student will learn basic methodologies to adapt the mechanical system to external input (using variable stiffness sensors and actuators) and to control its physical interaction (human-machine, machine-machine, machine-environment).
The Ph.D. course is divided in two parts:
• First part – simplified mechanical models of real robots and machines will be studied, underlining critical points in mechanical design;
• Second part - each Ph.D. candidate will conclude a small Sustainable Embodied Mechanical Intelligence Project (SEMIP) studying the behaviour of a sustainable machine (or robot) proposed by the teacher.

Learning assessment procedures

Discussion on the Personal Project.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Assessment

Evaluation of the sustainable embodied mechanical intelligence of a system.

Criteria for the composition of the final grade

Minimum score score to pass the exam: 18; Maximum Score: 30.

Scheduled Lessons

When Classroom Teacher topics
Monday 22 January 2024
17:30 - 19:30
Duration: 2:00 AM
Ca' Vignal 2 - L [67 - 1°] Giovanni Gerardo Muscolo La lezione non è stata effettuata per mancanza di studenti
Monday 29 January 2024
17:30 - 19:30
Duration: 2:00 AM
Ca' Vignal 2 - L [67 - 1°] Giovanni Gerardo Muscolo 1. An Introduction to Embodied Mechanical Intelligence and Sustainability: starting and conclusion 2. Fundamentals of Mechanics and Mechanical Intelligence: Starting
Monday 05 February 2024
17:30 - 19:30
Duration: 2:00 AM
Ca' Vignal 2 - L [67 - 1°] Giovanni Gerardo Muscolo Sustainable Embodied Mechanical Intelligence Project: Definition, state of the art, phases and process for standardisation
Tuesday 06 February 2024
17:00 - 19:00
Duration: 2:00 AM
Ca' Vignal 2 - L [67 - 1°] Giovanni Gerardo Muscolo La lezione non è stata effettuata per mancanza di studenti
Monday 19 February 2024
17:30 - 19:30
Duration: 2:00 AM
Ca' Vignal 2 - L [67 - 1°] Giovanni Gerardo Muscolo Fundamentals of Mechanics and Mechanical Intelligence: free body diagram; balancing systems; examples on equilibrium of systems; physical interaction of objects; examples on pulleys and cables; rigid body in motion in a plane.
Monday 26 February 2024
17:30 - 19:30
Duration: 2:00 AM
Ca' Vignal 2 - L [67 - 1°] Giovanni Gerardo Muscolo Fundamentals of Mechanics and Mechanical Intelligence; examples on dynamics (Automated Guided Vehicle): free body diagram, analytical calculations, and critical points on anthropomorphic robots. Presentation and discussion on SEMIP-Sustainable Embodied Mechanical Intelligence Projects.