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Authors: Erik Hernández ; Antonio Barrientos ; Jaime del Cerro and Claudio Rossi

Affiliation: Technical University of Madrid, Spain

Keyword(s): Multi-robot System, Security Tasks, Patrolling problem, Stochastic Fictitious Play, Game Theory.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Collective Intelligence ; Cooperation and Coordination ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Mobile Agents ; Multi-Agent Systems ; Robot and Multi-Robot Systems ; Software Engineering ; Symbolic Systems

Abstract: A great deal of work has been done in recent years on the multi-robot patrolling problem. In such problem a team of robots is engaged to supervise an infrastructure. Commonly, the patrolling tasks are performed with the objective of visiting a set of points of interest. This problem has been solved in the literature by developing deterministic and centralized solutions, which perform better than decentralized and non-deterministic approaches in almost all cases. However, deterministic methods are not suitable for security purpose due to their predictability. This work provides a new decentralized and non-deterministic approach based on the model of Game Theory called Stochastic Fictitious Play (SFP) to perform security tasks at critical facilities. Moreover, a detailed study aims at providing additional insight of this learning model into the multi-robot patrolling context is presented. Finally, the approach developed in this work is analyzed and compared with other methods proposed in the literature by utilizing a patrolling simulator. (More)

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Paper citation in several formats:
Hernández, E. ; Barrientos, A. ; del Cerro, J. and Rossi, C. (2013). A Multi-robot System for Patrolling Task via Stochastic Fictitious Play. In Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-8565-38-9; ISSN 2184-433X, SciTePress, pages 407-410. DOI: 10.5220/0004259504070410

@conference{icaart13,
author={Erik Hernández and Antonio Barrientos and Jaime {del Cerro} and Claudio Rossi},
title={A Multi-robot System for Patrolling Task via Stochastic Fictitious Play},
booktitle={Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2013},
pages={407-410},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004259504070410},
isbn={978-989-8565-38-9},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - A Multi-robot System for Patrolling Task via Stochastic Fictitious Play
SN - 978-989-8565-38-9
IS - 2184-433X
AU - Hernández, E.
AU - Barrientos, A.
AU - del Cerro, J.
AU - Rossi, C.
PY - 2013
SP - 407
EP - 410
DO - 10.5220/0004259504070410
PB - SciTePress