Robotics and neurodevelopmental disorder: design and implementation of a system of engagement metrics in human-robot interactions.

Battistini, Ylenia (2022) Robotics and neurodevelopmental disorder: design and implementation of a system of engagement metrics in human-robot interactions. [Laurea magistrale], Università di Bologna, Corso di Studio in Ingegneria e scienze informatiche [LM-DM270] - Cesena, Documento full-text non disponibile
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Abstract

In the recent decades, robotics has become firmly embedded in areas such as education, teaching, medicine, psychology and many others. We focus here on social robotics; social robots are designed to interact with people in a natural and interpersonal way, often to achieve positive results in different applications. To interact and cooperate with humans in their daily-life activities, robots should exhibit human-like intelligence. The rapid expansion of social robotics and the existence of various kinds of robots on the market have allowed research groups to carry out multiple experiments. The experiments carried out have led to the collections of various kinds of data, which can be used or processed for psychological studies, and studies in other fields. However, there are no tools available in which data can be stored, processed and shared with other research groups. This thesis proposes the design and implementation of visual tool for organizing dataflows in Human Robot Interaction (HRI).

Abstract
Tipologia del documento
Tesi di laurea (Laurea magistrale)
Autore della tesi
Battistini, Ylenia
Relatore della tesi
Correlatore della tesi
Scuola
Corso di studio
Ordinamento Cds
DM270
Parole chiave
Robot,ROS,Visual Tool,Human Robot Interaction
Data di discussione della Tesi
21 Luglio 2022
URI

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