A Bio-inspired Approach in Decision-making of Multiple Robots Applied on Partitioned Surveillance Task

Bruno Massaki Emori, Rodrigo Calvo

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 Harvard Style

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, pages 311-318. DOI: 10.5220/0006708803110318


in Bibtex Style

@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},
}


in EndNote Style

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
AU - Massaki Emori B.
AU - Calvo R.
PY - 2018
SP - 311
EP - 318
DO - 10.5220/0006708803110318