OVERVIEW

The Research Track II Course aims at providing students with advanced concepts needed for developing software for robotics, performing their research and presenting their results. Frontal lessons and class exercises will help the students in learning and analyzing the most relevant instruments in these contexts, such as data visualization libraries, software documentation tools, notebooks for robotics, statistical tests. Moreover, students will also work on a specific research line, possibly paving the way for their future thesis work. Concerning this, a part of the course will be dedicated to some aspects of research methodology. 

AIMS AND CONTENT

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 2 will consider subjects related to project design, development, assessment, reporting, as well as ancillary knowledge as experimental methodologies, data visualisation, bibliography research, pitch presentations.

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:

- create some effective visuals for showing data

- use notebooks for controlling and managing robotic simulations

- write proper documentation for the developed code

- define a research hypothesis

- use the correct statistical instruments for validating their hypotheses

- search scientific resources

- perform a literature analysis

PREREQUISITES

The course is the ideal continuation of the Research Track I course.

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:

- Data visualization and Matplotlib

- Jupyter Notebook

- Software Documentation, Doxygen and Sphinx

- Statistical tools for robotics engineering

- Elements of Research Methodology

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.

TEACHERS AND EXAM BOARD

Exam Board

CARMINE RECCHIUTO (President)

RENATO UGO RAFFAELE ZACCARIA

FULVIO MASTROGIOVANNI (President Substitute)

LESSONS

LESSONS START

https://corsi.unige.it/10635/p/studenti-orario

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

During the course, students will have to implement an assignment, which will start from the final assignment of Research Track I. 

During the final exam, students will present their Research Line (i.e., a literature analysis on a defined topic) carried out during the course. Students are also required to write a report, which will be evaluated by the Research Line tutor.

The final evaluation will be composed of the evaluation of the assignment (30%) and the evaluation of the Research Line presentation + report (70%)

ASSESSMENT METHODS

With the assignment and the final exam, students will demonstrate that they are able to:

- use tools for data visualization

- write a correct software documentation

- design a notebook for a robotic simulation

- define research hypotheses and perform statistical analyses

- perform a literature analysis

- present their work in front of a commission

Exam schedule