A robot group control based on Bayesian reasoning

Stipančić, Tomislav and Jerbić, Bojan and Ćurković, Petar (2011) A robot group control based on Bayesian reasoning. = A robot group control based on Bayesian reasoning. In: World Congress on Engineering 2011, WCE 2011, 06-08.07.2011., London, United Kingdom.

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Abstract

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 1 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.

Item Type: Conference or Workshop Item (Lecture)
Keywords (Croatian): Bayesian reasoning; behavioral patterns; context; human intervention; learning phase; robot group; single robots; Bayesian networks; distributed parameter networks; industrial applications; inference engines; intelligent networks; ontology; ubiquitous computing; robots
Subjects: TECHNICAL SCIENCE
Divisions: 900 Department of Robotics and Production System Automation > 920 Chair of Manufacturing and Assembly System Planning
Indexed in Web of Science: No
Indexed in Current Contents: No
Citations SCOPUS: 2 (21.09.2018.)
Date Deposited: 23 Apr 2015 09:45
Last Modified: 31 Jan 2019 16:45
URI: http://repozitorij.fsb.hr/id/eprint/3769

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