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master's thesis
Upravljanje razgovorom s Nao robotom korištenjem POMDP metode
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. urn:nbn:hr:168:402392
Kužet, Barbara
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Kužet, B. (2016). Upravljanje razgovorom s Nao robotom korištenjem POMDP metode (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:402392

Kužet, Barbara. "Upravljanje razgovorom s Nao robotom korištenjem POMDP metode." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. https://urn.nsk.hr/urn:nbn:hr:168:402392

Kužet, Barbara. "Upravljanje razgovorom s Nao robotom korištenjem POMDP metode." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. https://urn.nsk.hr/urn:nbn:hr:168:402392

Kužet, B. (2016). 'Upravljanje razgovorom s Nao robotom korištenjem POMDP metode', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 02 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:402392

Kužet B. Upravljanje razgovorom s Nao robotom korištenjem POMDP metode [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2016 [cited 2024 November 02] Available at: https://urn.nsk.hr/urn:nbn:hr:168:402392

B. Kužet, "Upravljanje razgovorom s Nao robotom korištenjem POMDP metode", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:168:402392

Metadata
TitleUpravljanje razgovorom s Nao robotom korištenjem POMDP metode
Title (english)Management of Dialog with NAO Robot using POMDP Method
AuthorBarbara Kužet
MentorZdenko Kovačić (mentor)
Committee memberZdenko Kovačić (predsjednik povjerenstva)
Committee memberStjepan Bogdan (član povjerenstva)
Committee memberMatko Orsag (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2016-07-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
Cilj ovoga rada upravljanje je dijalogom NAO robota i djeteta u svrhu dijagnostike autizma. Upravljanje razgovorom ostvareno je POMDP modelom koji omogućava modeliranje neodređenih procesa kakav je i razgovor te praćenje stanja djeteta koje je neosmotrivo. Na temelju djetetovih odgovora donosi se ocjena njegovog stanja, a moguća su tri stanja djeteta: dijete je tipičnog razvoja, dijete ima poremećaj visoko funkcionalnog autizma ili ima poremećaj niskofunkcionalnog autizma. Odgovori djeteta prvo se klasificiraju u jednu od 6 određenih skupina, a zatim se šalju kao opservacije POMDP modelu koji u odnosu na njih određuje akcije robota. POMDP model pokazuje dobro vladanje za točnost prepoznavanja odgovora djeteta od 80% i više. Simulacijama razgovora za nekoliko scenarija, pokazano je da se izgrađenim modelom uspješno vodi razgovor i da automatski generirana ocjena stanja djeteta daje zadovoljavajuće rezultate.
Abstract (english)
The aim of this thesis is managing the dialogue between a NAO robot and a child for the purpose of autism diagnosis. Conversation managing was achieved by POMDP model which facilitates modeling of uncertain processes, such as conversing and monitoring the condition of a child that is unobservable. Based on the child’s answers the evaluation of its condition is made, and there are three possible states which can be proclaimed: the child is of typical development, the child has a high functioning autism, or the child has a low functioning autism. Child’s answers are first classified into one of six possible groups and are then sent as observations to the POMDP model, which sets the actions of the robot based on the given answers. POMDP model behaves adequately when answer recognition accuracy is 80 per cent or higher. Conversation simulations of a few different scenarios show that the built model converses succesfully and that the automatically generated assessments of the child give satisfactory results.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:402392
Study programmeTitle: Electrical Engineering and Information Technology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije (magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije)
Type of resourceText
File originBorn digital
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Created on2018-02-06 10:03:36