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Authors: Lluís Ribas-Xirgo and Ismael F. Chaile

Affiliation: Universitat Autònoma de Barcelona, Spain

ISBN: 978-989-8565-38-9

Keyword(s): Agent-Based Modelling; Mixed-Reality Environments; Multi-Agent Systems; Physical Agents.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Bioinformatics ; Biomedical Engineering ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Methodologies and Technologies ; Multi-Agent Systems ; Operational Research ; Physical Agents ; Robot and Multi-Robot Systems ; Simulation ; Software Engineering ; Symbolic Systems

Abstract: Agent-based modelling enables simulating complex systems and controlling them, as well. In the industrial domain there are plenty of these systems not only because of the size but also because of the need for fault-tolerance and adaptability. Typically, these cases are solved by dividing systems into different dimensions, including the transportation one. In this paper, we take this approach to build a framework to develop and control transportation in applications within the industrial domain, which will be tested on an automated laboratory. The framework is based on a multi-agent simulator that contains the model of the plant with transportation agents having a multi-layered architecture. The lower-level layers correspond to those that would be embedded into physical transportation agents. Therefore, while agents communicate to each other within the simulator environment, communication between upper-level layers and lower-lever layers of each agent is done internally for the simulat ed parts and externally for the real counterparts. The simulator can be used stand-alone to functionally validate a system or in combination with real agents as a monitoring/controlling tool. Preliminary results prove the viability of the framework as a design tool and show the difficulties to work with physical agents. (More)

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Paper citation in several formats:
Ribas-Xirgo, L. and Chaile, I. (2013). An Agent-based Model of Autonomous Automated-Guided Vehicles for Internal Transportation in Automated Laboratories.In Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-8565-38-9, pages 262-268. DOI: 10.5220/0004257702620268

@conference{icaart13,
author={Lluís Ribas{-}Xirgo. and Ismael F. Chaile.},
title={An Agent-based Model of Autonomous Automated-Guided Vehicles for Internal Transportation in Automated Laboratories},
booktitle={Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2013},
pages={262-268},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004257702620268},
isbn={978-989-8565-38-9},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - An Agent-based Model of Autonomous Automated-Guided Vehicles for Internal Transportation in Automated Laboratories
SN - 978-989-8565-38-9
AU - Ribas-Xirgo, L.
AU - Chaile, I.
PY - 2013
SP - 262
EP - 268
DO - 10.5220/0004257702620268

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