Collective Decision Making in a Swarm of Robots: How Robust the BEECLUST Algorithm Performs in Various Conditions.

Daniela Kengyel; Payam Zahadat; Thomas Kunzfeld; Thomas Schmickl

doi:10.4108/eai.3-12-2015.2262332

Collective Decision Making in a Swarm of Robots: How Robust the BEECLUST Algorithm Performs in Various Conditions.

Daniela Kengyel, Payam Zahadat, Thomas Kunzfeld, Thomas Schmickl

Karl-Franzens University

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

Abstract

In this paper a honeybee inspired collective-decision-making algorithm called BEECLUST is studied in a swarm of autonomous robots and the performance of the swarm is investigated in different conditions.

The algorithm has low requirements thus it is promising for implementation in robots with low resources. Here the algorithm is applied in swarms of improved e-puck robots in three different conditions in order to study the strengths and limitations of the algorithm. The collective system demonstrated a high performance in adapting to a dynamic environment as well as a very low sensitivity to additional robots with malfunctioning sensors. On the other hand the system shows an strong response to robots that act as social seeds influencing the decision-making of the swarm.

Originalsprog	Engelsk
Titel	9th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS)
Antal sider	8
Forlag	Association for Computing Machinery
Publikationsdato	24 maj 2016
Sider	264-271
DOI	https://doi.org/10.4108/eai.3-12-2015.2262332
Status	Udgivet - 24 maj 2016
Udgivet eksternt	Ja

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10.4108/eai.3-12-2015.2262332Licens: Ikke-specificeret

Citationsformater

Kengyel, D., Zahadat, P., Kunzfeld, T., & Schmickl, T. (2016). Collective Decision Making in a Swarm of Robots: How Robust the BEECLUST Algorithm Performs in Various Conditions. I 9th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS) (s. 264-271). Association for Computing Machinery. https://doi.org/10.4108/eai.3-12-2015.2262332

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title = "Collective Decision Making in a Swarm of Robots: How Robust the BEECLUST Algorithm Performs in Various Conditions.",

abstract = "In this paper a honeybee inspired collective-decision-making algorithm called BEECLUST is studied in a swarm of autonomous robots and the performance of the swarm is investigated in different conditions. The algorithm has low requirements thus it is promising for implementation in robots with low resources. Here the algorithm is applied in swarms of improved e-puck robots in three different conditions in order to study the strengths and limitations of the algorithm. The collective system demonstrated a high performance in adapting to a dynamic environment as well as a very low sensitivity to additional robots with malfunctioning sensors. On the other hand the system shows an strong response to robots that act as social seeds influencing the decision-making of the swarm.",

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note = "DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.",

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Kengyel, D, Zahadat, P, Kunzfeld, T & Schmickl, T 2016, Collective Decision Making in a Swarm of Robots: How Robust the BEECLUST Algorithm Performs in Various Conditions. i 9th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS). Association for Computing Machinery, s. 264-271. https://doi.org/10.4108/eai.3-12-2015.2262332

Collective Decision Making in a Swarm of Robots: How Robust the BEECLUST Algorithm Performs in Various Conditions. / Kengyel, Daniela; Zahadat, Payam; Kunzfeld, Thomas et al.
9th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS). Association for Computing Machinery, 2016. s. 264-271.

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

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Collective Decision Making in a Swarm of Robots: How Robust the BEECLUST Algorithm Performs in Various Conditions.

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