Robotics Lab

Master's Course in Automation Engineering
Academic Year 2019/2020

Instructor: Dr. Jonathan Cacace (Tel: 081 76-83875) (email: jonathan(dot)cacace(at)unina(dot)it)

(last update: 04/05/20)

CLASS SCHEDULE

  • Monday, 10:30-12:30
  • Thursday, 15:30-17:30

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 through this link.

TEACHING ASSISTANTSHIP

Send an email to the Instructor or to the Assistant 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.

SYLLABUS

  • 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

TEXTBOOK

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)

EXAMS

In order to be admitted to the orals, students have to develop a project. During the last part of the course three (or more) simulation scenarios will be provided to simulate industrial and mobile robots. Each candidate must choose a simulation scenario to develop a given project. Projects can be carried out by a group of 2 or 3 students. The project consists in the development of a ROS package to perform a robotic task. Groups will be evaluated considering the quality of the developed solution (additional information will be provided).

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Contacts and Directions

PRISMA Lab - Via Claudio 21, 80125 Napoli, Italy

COORDINATOR: Prof. Bruno Siciliano [bruno (dot) siciliano (at) unina (dot) it]