LEARNING OUTCOMES

Robotics is a multi-disciplinary field characterised by a high degree of research. Research Track 1 and Research Track 2 are aimed at developing a series of must-have know-how and expertise that any researcher in Robotics must be acquainted to. In particular, Research Track 1 will lay the basis of software development for robots, as well as practical insights in robot architectures. These knowledges will be of fundamental importance for later courses and the practice classes therein.

AIMS AND LEARNING OUTCOMES

Active participation in the proposed training activities (lectures and laboratory activities), individual study and the realization of projects will allow students to:

- learn basic aspects of software programming for robotics;

- know and use the robotic framework ROS;

- develop simple software architecture based on different communication paradigms (publish/subscribe, client/service);

- implement and modify simple simulations involving mobile robots.

PREREQUISITES

No specific prerequisites are needed. Some elements of programming may be helpful.

TEACHING METHODS

Teaching methods consist of frontal lessons and class exercises.

During frontal lessons, examples related to the implementation of the different aspects will be shown.

Class exercises will be performed individually or in groups

SYLLABUS/CONTENT

The course program consists of the following topics:

- Linux (for Robotics)

- Python (for Robotics)

- C++ (for Robotics)

- Docker 

- Distributed Version Control Systems

- Basic principles of ROS

- Services and messages in ROS

- Simulation of Mobile Robots with ROS and Gazebo.

RECOMMENDED READING/BIBLIOGRAPHY

All slides shown during the lessons and other teaching materials will be available on the Aulaweb platform. Generally speaking, notes taken during the lessons and teaching materials uploaded on Aulaweb will be sufficient for the course.