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9th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS)

Research Article

Revisiting BEECLUST: Aggregation of Swarm Robots with Adaptiveness to Different Light Settings

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.4108/eai.3-12-2015.2262877,
        author={Mostafa Wahby and Alexander Weinhold and Heiko Hamann},
        title={Revisiting BEECLUST: Aggregation of Swarm Robots with Adaptiveness to Different Light Settings},
        proceedings={9th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS)},
        publisher={ACM},
        proceedings_a={BICT},
        year={2016},
        month={5},
        keywords={beeclust adaptive behavior collective decision making aggregation swarm robots},
        doi={10.4108/eai.3-12-2015.2262877}
    }
    
  • Mostafa Wahby
    Alexander Weinhold
    Heiko Hamann
    Year: 2016
    Revisiting BEECLUST: Aggregation of Swarm Robots with Adaptiveness to Different Light Settings
    BICT
    EAI
    DOI: 10.4108/eai.3-12-2015.2262877
Mostafa Wahby1,*, Alexander Weinhold1, Heiko Hamann1
  • 1: University of Paderborn
*Contact email: mostafa.wahby@uni-paderborn.de

Abstract

Aggregation is a crucial task in swarm robotics to ensure cooperation. We investigate the task of aggregation on an area specified indirectly by certain environmental features, here it is a light distribution. We extend the original BEECLUST algorithm, that implements an aggregation behavior, to an adaptive variant that automatically adapts to any light conditions. We compare these two control algorithms in a number of swarm robot experiments with different light conditions. The improved, adaptive variant is found to be significantly better in the tested setup.

Keywords
beeclust adaptive behavior collective decision making aggregation swarm robots
Published
2016-05-24
Publisher
ACM
http://dx.doi.org/10.4108/eai.3-12-2015.2262877
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