Course Details for A.Y. 2016/2017

The information on this page refer to the academic year 2016/2017. Therefore, several links are not available and data may be incomplete. To read the current information on the course, if it is still available, go to the university course catalogue . To read information relating other academic years, use the list at the bottom of this page.

A. Year:

2016/2017

Name:

Laboratorio di Sistemi Intelligenti e Robotica / Intelligent Systems And Robotics Laboratory

Type:

Course

Basic information

Code:

DT0121

Sector:

ING-INF/05

Credits:

: Master Degree in Computer Science 6 CFU (b)

Term:

1^st semester

Degree(s):

Master Degree in Computer Science 1^st anno curriculum NEDAS Elective
Master Degree in Computer Science 2^nd anno curriculum UBIDIS Elective

Language:

English

Teacher(s):

Giovanni De Gasperis

Propaedeutics:

Artificial Intelligence

Course Objectives

The future master graduate on ICT will have a hands-on experience with a project involving most of the technologies of the sector, with particular focus on cognitive robotics.

Course Content

Programmazione avanzata su rete con Python/PyPy con librerie Twisted, Tornado, Flask
Uso di strumenti open source per il cloud computing, no-sql servers, comunicazione asincrona inter-processo
Uso di un sistema di virtualizzazione/simulazione back end su cloud computing personale.
Sperimentazione con ambienti di simulazione fisica virtuale e mondi virtuali
Approfondimento del Sistema Operativo per la Robotica R.O.S. e dei middleware YARP, DDS.
Applicazione del framework DALI esteso (PyDALI) per Sistemi Multiagente nel controllo di sistemi robotici virtuali in cloud computing.

Learning Outcomes (Dublin Descriptors)

On successful completion of this course, the student should

Know how to design a cognitive robotics application, know how to implement a working prototype by means of virtualization and cloud computing techniques.

Prerequisites and Learning Activities

Knowledge about: • Object oriented programming • Interprocess communication by TCP/UDP sockets or more • Software development experience in team work, especially for network distributed applications • topics addressed by the Artificial Intelligence course • DALI extended framework for multi agent systems • Unix or GNU/Linux bash shell bash • Linux kernel

Assessment Methods and Criteria

Design and implementation of a small project on virtual cognitive robotics and its oral discussion at the exam.

Notes

Students are invited to install a GNU/Linux distribution on their portable computer, preferebly in dual-boot mode, or secondarily as a virtual machine.

Internet Resources

Homepage:

http://www.didattica.univaq.it/moodle/course/view.php?id=5697

Forum: