Course Details for A.Y. 2018/2019

The information on this page refer to the academic year 2018/2019. 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:

2018/2019

Name:

Intelligent Systems And Robotics Laboratory / Intelligent Systems And Robotics Laboratory

Type:

Course

Basic information

Code:

DT0201

Sector:

ING-INF/05

Credits:

: Bachelor Degree in Computer Science 6 CFU (b)
: Master Degree in Computer Science 6 CFU (b)

Term:

1^st semester

Degree(s):

Bachelor Degree in Computer Science 3^rd anno curriculum General Elective
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:

Foundations Of Programming And Laboratory
Object Oriented Programming
Computer Networks

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

Advanced network programming with Python / PyPy with Flask, or equivalent extension libraries
Using open source tools for cloud computing, no-sql servers, asynchronous inter-process communication
Using a virtualization / back end simulation system on personal cloud computing
Experimenting with virtual physical simulation environments and virtual worlds
In-depth study of the Robotic Operation System R.O.S. and YARP middleware.
Application of the extended DALI framework (PyDALI) for Multiagent Systems in controlling real or virtual robotic systems in cloud computing.
Control of the anthropomorphic NAO robot through the Coreographe environment

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 and to validate the impalementation on real robotic platform.

Prerequisites and Learning Activities

The course will use 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

Written exam about the Prolog language and oral discussione of a small robotics project on real or virtual cognitive robotics.

Textbooks

Learning Robotics Using Python, Lentin Joseph , PACKT Publishing.
Joseph Howse, OpenCV Computer Vision with Python , PACKT Publishing.
Robotics Operative System User Manual (online) http://www.ros.org

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:

https://moodle.univaq.it/course/view.php?id=37

Forum: