Master's Course in Automation Engineering and Robotics
Academic Year 2020/2021

Instructor: Dr. Jonathan Cacace Questo indirizzo email è protetto dagli spambots. E' necessario abilitare JavaScript per vederlo.

(last update: 18/04/21)

Class Schedule

  • Monday, 10:30-12:30
  • Wednesday, 8:30-10:30

Lectures are taught remotely through the Microsoft Teams (MT) platform. At this link you can find the documentation and quick guides. Students can join the MT class adding a new team using the following code: 9oalgvl.

Teaching Assistantship

Send an email to the Instructor to set an appointment, usually on Monday 14.30–16.30. Assistantship will be provided via the MT platform.

Aim of the Course

The aim of this course is to give an overview of the fundamental tools and techniques used to program advanced robotics systems (both industrial and mobile). After a brief introduction of the technologies commonly used to program robots (e.g. Linux, c++, git), the Robot Operating System (ROS) framework will be introduced and deeply studied. Simulation software will help the course attenders to test state-of-art robotic algorithms and their own robot control software.


  • Basic usage of Linux operating system
  • Basic usage of version control tools (Git)
  • Recalling of c++ Programming
  • ROS architecture and commands
  • Improve your skills in programming and usage of Linux OS
  • Learn to use off-the-shelf software to speed up the development process
  • Learn to design a whole robotic application interfacing sensors, decision and control
  • Learn to use learning-based approaches to program robotic systems


Lecture Notes

  • Click here and here to download the PDF file for Course overview and introduction to Robot Operating System (ROS)
  • Click here and here to download the PDF file for Robotics programming technologies (Linux, c++, make & git)
  • Click here and here to download the PDF file for Starting with ROS programming (Part 1)


To be admitted to the orals, students have to develop a technical project programming a mobile/industrial/aerial or legged robot in a simulation environment.