Paper Title:
Probabilistic Approach to Robot Group Control
  Abstract

The objective of this paper is to discuss 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 a working environment. Compared with classical industrial robots, usually preprogrammed for a limited number of operations / actions, the system based on this model can react in uncertain situations and scenarios. The model combines ontology to describe the specific domain of interest and decision–making mechanisms based on Bayesian Networks (BN) to enable the work of a single robot without human intervention by learning Behavioral Patterns (BP) of other robots in the group.

  Info
Periodical
Advanced Materials Research (Volumes 317-319)
Chapter
Industrial Robotics and Automation
Edited by
Xin Chen
Pages
742-749
DOI
10.4028/www.scientific.net/AMR.317-319.742
Citation
T. Stipančić, B. Jerbić, P. Ćurković, "Probabilistic Approach to Robot Group Control", Advanced Materials Research, Vols. 317-319, pp. 742-749, 2011
Online since
August 2011
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Price
$32.00
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