Pregled bibliografske jedinice broj: 533358
Bayesian approach to robot group control
Bayesian approach to robot group control // Electrical Engineering and Intelligent Systems / Sio-long, Ao ; Gelman, Len (ur.).
New York (NY): Springer, 2012. str. 109-119 doi:10.1007/978-1-4614-2317-1_9 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 533358 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Bayesian approach to robot group control
Autori
Stipančić, Tomislav ; Jerbić, Bojan ; Ćurković, Petar
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Electrical Engineering and Intelligent Systems
/ Sio-long, Ao ; Gelman, Len - New York (NY) : Springer, 2012, 109-119
ISBN
978-1-4614-2316-4
Skup
International Conference in Electrical Engineering and Intelligent Systems, (WCE 2011)
Mjesto i datum
London, Ujedinjeno Kraljevstvo, 06.07.2011. - 08.07.2011
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
assembly, bayesian networks, context, control, robotics
Sažetak
The objective of this paper is to discus the probabilistic part of the model for robot group control applied in industrial applications. The proposed model is based on well-known concepts of Ubiquitous Computing and enables contextual perception of the environment. This model uses ontology to provide the knowledge about the domain of application and Bayesian Network to control the robot group behaviors. In the learning phase, a single robot has to observe other robots’ Behavioral Patterns to predict further steps and strategies. Bayesian Network based mechanisms can enable work without human intervention and help the system reacts in uncertain situations and scenarios.
Izvorni jezik
Engleski
Znanstvena područja
Matematika, Računarstvo, Strojarstvo
POVEZANOST RADA
Projekti:
120-1201948-1941 - AUTONOMNA VIŠEAGENTNA AUTOMATSKA MONTAŽA (Jerbić, Bojan, MZOS ) ( CroRIS)
Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Scopus