Applying Reinforcement Learning to Multi-robot System Behavior Coordination

Yolanda Sanz¹⁸,
Javier de Lope¹⁸ &
Darío Maravall¹⁸

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5717))

Included in the following conference series:

International Conference on Computer Aided Systems Theory

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Abstract

We have applied ANLAGIS to a coordination problem Multi-robot Systems, specifically the storage of a set of elements is in the warehouses. We have combined ANLAGIS along with Reinforcement Learning for each of the behaviors that stem from this task, besides drawing up the coordination of these behaviors in order to perform the task in a satisfactory way.

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Article 08 November 2022

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Authors and Affiliations

Perception for Computer and Robots, Universidad Politécnica de Madrid, Campus de Montegancedo, 28660, Madrid, Spain
Yolanda Sanz, Javier de Lope & Darío Maravall

Authors

Yolanda Sanz
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Javier de Lope
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Darío Maravall
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Editors and Affiliations

Instituto Universitario de Ciencias y Tecnologías Cibernéticas, Universidad de Las Palmas de Gran Canaria, Campus de Tafira, 35017, Las Palmas de Gran Canaria, Las Palmas, Spain
Roberto Moreno-Díaz & Alexis Quesada-Arencibia &
Institute of Systems Science, Johannes Kepler University Linz, Altenbergerstrasse 69, 4040, Linz, Austria
Franz Pichler

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Sanz, Y., de Lope, J., Maravall, D. (2009). Applying Reinforcement Learning to Multi-robot System Behavior Coordination. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory - EUROCAST 2009. EUROCAST 2009. Lecture Notes in Computer Science, vol 5717. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04772-5_54

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DOI: https://doi.org/10.1007/978-3-642-04772-5_54
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04771-8
Online ISBN: 978-3-642-04772-5
eBook Packages: Computer ScienceComputer Science (R0)

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