cc 16(9): e1

Research Article

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

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  • @ARTICLE{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},
        journal={EAI Endorsed Transactions on Collaborative Computing},
        volume={2},
        number={9},
        publisher={ACM},
        journal_a={CC},
        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
    CC
    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.