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Authors: Bruno Massaki Emori and Rodrigo Calvo

Affiliation: State University of Maringa, Brazil

ISBN: 978-989-758-298-1

ISSN: 2184-4992

Keyword(s): Bio-inspired Computing, Autonomous Navigation of Multiple Robots, Exploration and Surveillance of Environment, Collective Intelligence.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Intelligent Agents ; Internet Technology ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Multi-Agent Systems ; Software Engineering ; Strategic Decision Support Systems ; Symbolic Systems ; Web Information Systems and Technologies

Abstract: This paper proposes a robot coordination strategy for surveillance task execution. The strategy is based on artificial ants behavior, both for non explored regions and areas already discovered by the robots. In a strategy already known, the robots are not capable to distinguish its own pheromone from the pheromone of the others. In the proposed strategy, the ability to distinct the substances causes the environment’s partition. Experimental results shows the typical behavior of each strategy applied to different environments and show the superiority of the proposed strategy due to the environment partitioning.

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Paper citation in several formats:
Massaki Emori, B. and Calvo, R. (2018). A Bio-inspired Approach in Decision-making of Multiple Robots Applied on Partitioned Surveillance Task. In Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-298-1 ISSN 2184-4992, pages 311-318. DOI: 10.5220/0006708803110318

@conference{iceis18,
author={Bruno {Massaki Emori}. and Rodrigo Calvo.},
title={A Bio-inspired Approach in Decision-making of Multiple Robots Applied on Partitioned Surveillance Task},
booktitle={Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2018},
pages={311-318},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006708803110318},
isbn={978-989-758-298-1},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - A Bio-inspired Approach in Decision-making of Multiple Robots Applied on Partitioned Surveillance Task
SN - 978-989-758-298-1
IS - 2184-4992
AU - Massaki Emori, B.
AU - Calvo, R.
PY - 2018
SP - 311
EP - 318
DO - 10.5220/0006708803110318

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