Bayesian approach to robot group control

Stipančić, Tomislav and Jerbić, Bojan and Ćurković, Petar (2012) Bayesian approach to robot group control. = Bayesian approach to robot group control. In: International Conference in Electrical Engineering and Intelligent Systems, 6-8.07.2011., London, United Kingdom.

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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.

Item Type: Conference or Workshop Item (Lecture)
Keywords (Croatian): assembly, bayesian networks, context, control, robotics
Subjects: NATURAL SCIENCES > Mathematics
TECHNICAL SCIENCE > Mechanical Engineering
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
Date Deposited: 12 May 2017 08:54
Last Modified: 31 Jan 2019 13:52

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