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master's thesis
Prepoznavanje namjere čovjeka zasnovano na Markovljevim procesima odlučivanja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. urn:nbn:hr:168:667107
Petković, Tomislav
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Petković, T. (2017). Prepoznavanje namjere čovjeka zasnovano na Markovljevim procesima odlučivanja (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:667107

Petković, Tomislav. "Prepoznavanje namjere čovjeka zasnovano na Markovljevim procesima odlučivanja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:667107

Petković, Tomislav. "Prepoznavanje namjere čovjeka zasnovano na Markovljevim procesima odlučivanja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:667107

Petković, T. (2017). 'Prepoznavanje namjere čovjeka zasnovano na Markovljevim procesima odlučivanja', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 27 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:667107

Petković T. Prepoznavanje namjere čovjeka zasnovano na Markovljevim procesima odlučivanja [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2024 December 27] Available at: https://urn.nsk.hr/urn:nbn:hr:168:667107

T. Petković, "Prepoznavanje namjere čovjeka zasnovano na Markovljevim procesima odlučivanja", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:667107

Metadata
TitlePrepoznavanje namjere čovjeka zasnovano na Markovljevim procesima odlučivanja
Title (english)Human Intention Recognition Based on Markov Decision Processes
AuthorTomislav Petković
MentorIvan Marković (mentor)
Committee memberIvan Marković (predsjednik povjerenstva)
Committee memberIvan Petrović (član povjerenstva)
Committee memberMarija Seder (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2017-07-17, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
Ubrzan rast e-trgovanja povećava potrebu za većim skladištima i njihovom automatizacijom. Korištenje robota za asistenciju ljudskim radnicima postaje prioritet. Robot mora prepoznati čovjekove namjere ako želi asistirati efikasno i sigurno. Teorija uma je ljudski intuitivni koncept procjena mentalnih stanja drugih agenata, poput uvjerenja i želja, i kako ona utječu na ponašanje. U ovom smo radu prezentirali algoritam za prepoznavanje čovjekove namjere baziran na teoriji uma koristeći Markovljeve procese odlučivanja i skriven Markovljev model. Pokazali smo kako predložen algoritam precizno predviđa ljudske želje.
Abstract (english)
The rapid growth of e-commerce increases the need for larger warehouses and their automation. Using robots as assistants to human workers becomes priority. In order to operate efficiently and safely, robot assistants must recognize human intentions. Theory of mind (ToM) is our intuitive conception of other agents' mental state, i.e. beliefs and desires, and how they cause behavior. In this paper we present a ToM-based human intention recognition algorithm. We have placed the warehouse worker in a 2D simulation environment with three potential goals.We observe agent's actions and validate them with respect to the goal locations using Markov decision process framework. Those observations are then processed by proposed hidden Markov model framework which yields agent's desires estimations. We show that the proposed framework predicts human warehouse worker's desires accurately and comment upon the simulation results.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:667107
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 on2019-03-13 23:53:48