IT for Smart Manufacturing

Instructors

Classroom of the course for A.Y. 2025/2026
https://classroom.google.com/c/NzgwNTE1MTA1MjM0?cjc=vt27crkj

Last news

Because of the strike the lesson of 03/10 will be given online at the following link:

https://uniroma1.zoom.us/j/83972350699?pwd=ISr4a7dPbViJRlqKx3BpEbeTZ3EbLH.1

ID riunione: 839 7235 0699

Codice d’accesso: 450434

Lesson Schedule

• Thursday 17:00 - 20:00  - Room A3 Via Ariosto 25

• Friday 17:00 - 19:00 - Room A3 Via Ariosto 25

General Objectives.

• Understanding of the main application scenarios relevant to Smart Manufacturing technologies

• Familiarity with the technologies utilized in Smart Manufacturing including those for: (a) Low-level programming of machinery, (b) Data transmission over industrial networks, (c) Development of Artificial Intelligence solutions (Computer Vision, Symbolic Artificial Intelligence, Machine and Deep Learning);

• Ability to design and develop practical solutions in the field of Smart Manufacturing;

• Understanding the integration of smart manufacturing systems into the modern Big Data Continuum;

• Understanding the technological stack used in the industrial field and the necessity of integrating it into higher-level solutions.

Specific objectives:

Ability to:

• Identify the most suitable techniques for developing a Smart Manufacturing solution that meets an industrial need;

• Implement the proposed solution, identifying the most appropriate design and implementation tools, among available ones;

• Design and implement experiments to evaluate proposed solutions in realistic settings;

Apply knowledge and understanding:

• Being able to translate application requirements into concrete Smart Manufacturing problems;

• Being able to identify the most suitable techniques and tools to address the aforementioned problems;

• Being able to estimate in advance, at least qualitatively, the degree of scalability of proposed solutions.

Preliminary Program

• Information Systems in Smart Manufacturing

• Industrial communication protocols

• Embedded Systems

• Real-time Operating Systems (with examples in Samsung PLCs, FreeRTOS and Linux Real-Time)

• Introduction to Industrial robot programming (with examples in ROS 2 - Robot Operating System)

• Big Data in Smart Manufacturing

• Industrial Computer Vision (with examples in OpenCV)

• Artificial Intelligence and Smart Manufacturing

• Dashboarding