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doctoral thesis
Spoznajni model upravljanja grupom industrijskih robota
Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2013. urn:nbn:hr:235:538438
Stipančić, Tomislav
University of Zagreb
Faculty of Mechanical Engineering and Naval Architecture

Institutional repository: Repository of Faculty of Mechanical Engineering and Naval Architecture University of Zagreb

Cite this document

Stipančić, T. (2013). Spoznajni model upravljanja grupom industrijskih robota (Doctoral thesis). Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:235:538438

Stipančić, Tomislav. "Spoznajni model upravljanja grupom industrijskih robota." Doctoral thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2013. https://urn.nsk.hr/urn:nbn:hr:235:538438

Stipančić, Tomislav. "Spoznajni model upravljanja grupom industrijskih robota." Doctoral thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2013. https://urn.nsk.hr/urn:nbn:hr:235:538438

Stipančić, T. (2013). 'Spoznajni model upravljanja grupom industrijskih robota', Doctoral thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, accessed 18 December 2024, https://urn.nsk.hr/urn:nbn:hr:235:538438

Stipančić T. Spoznajni model upravljanja grupom industrijskih robota [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture; 2013 [cited 2024 December 18] Available at: https://urn.nsk.hr/urn:nbn:hr:235:538438

T. Stipančić, "Spoznajni model upravljanja grupom industrijskih robota", Doctoral thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 2013. Available at: https://urn.nsk.hr/urn:nbn:hr:235:538438

Metadata
TitleSpoznajni model upravljanja grupom industrijskih robota
Title (english)Cognitive model for the control of a group of industrial robots
AuthorTomislav Stipančić
MentorBojan Jerbić (mentor)
Committee memberMladen Crneković (predsjednik povjerenstva)
Committee memberBojan Jerbić (član povjerenstva)
Committee memberZdenko Kovačić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
Zagreb
Defense date and country2013-05-29, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
Production Mechanical Engineering
Universal decimal classification
(UDC)		004 - Computer science and technology. Computing. Data processing
67/68 - Various industries, trades and crafts
Abstract
U odnosu na klasične pristupe u kojima se robotski sustavi programiraju za ograničeni broj djelovanja, sustavi koji koriste koncepte sveprisutnog računarstva mogu autonomno predviđati ponašanje u specifičnim situacijama. U ovoj disertaciji je razvijen spoznajni model upravljanja sustavom umreženih robota zasnovan na kontekstualnoj spoznaji okoline koristeći koncepte sveprisutnog računarstva. Ti su koncepti ostvareni razvojem odgovarajuće ontologije povezane s mehanizmom odlučivanja. Razvojem ontologije za sustav robota definiran je deskriptivni model znanja karakterističan za industrijsku primjenu kod poslova robotskog sklapanja. Korišteni mehanizmi odlučivanja temeljeni su na deskriptivnoj logici ostvarenoj unutar ontologije te Bayesovoj mreži, omogućujući pritom dovoljnu razinu apstrakcije potrebnu za donošenje jednoznačnih odluka primjerenih trenutnom kontekstu.
Abstract (english)
Compared to classical approaches in which robotic systems are programmed for a limited number of activities, systems that rely on the concepts of Ubiquitous Computing can independently predict behaviours in specific situations. In this thesis a cognitive model for the control of networked robots, based on the contextual perception of the environment is developed. Here, concepts of Ubiquitous Computing that are achieved by developing an appropriate ontology associated with some decision-making mechanisms are used. By developing the ontology for a system of robots, a descriptive model of knowledge to be used in industrial robotic assembly applications is defined. Decision-making mechanisms are based on Descriptive Logic achieved within the ontology and on a Bayesian Network, allowing a sufficient level of abstraction required for making unambiguous decisions appropriate to the current context.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:235:538438
Study programmeTitle: Mechanical Engineering and Naval Architecture
Study programme type: university
Study level: postgraduate
Academic / professional title: doktor/doktorica znanosti, područje tehničkih znanosti (doktor/doktorica znanosti, područje tehničkih znanosti)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2020-05-04 09:29:50