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

University of Graz

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › 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.

Original language	English
Title of host publication	9th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS)
Number of pages	8
Publisher	Association for Computing Machinery
Publication date	24 May 2016
Pages	264-271
DOIs	https://doi.org/10.4108/eai.3-12-2015.2262332
Publication status	Published - 24 May 2016
Externally published	Yes
Event	Bio‑inspired Information and Communications Technologies: BIONETICS - Colombia University, New York City, United States Duration: 3 Dec 2015 → 5 Dec 2015 Conference number: 9 https://bionetics.eai-conferences.org/2015/show/home.html?utm

Conference

Conference	Bio‑inspired Information and Communications Technologies
Number	9
Location	Colombia University
Country/Territory	United States
City	New York City
Period	03/12/2015 → 05/12/2015
Internet address	https://bionetics.eai-conferences.org/2015/show/home.html?utm

Keywords

Swarm robotics
Autonomous agents
Self-organisation
Bioinspired algorithm
Swarm intelligence
Collective decision making

Access to Document

10.4108/eai.3-12-2015.2262332Licence: Unspecified

Cite this

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. In 9th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS) (pp. 264-271). Association for Computing Machinery. https://doi.org/10.4108/eai.3-12-2015.2262332

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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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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. in 9th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS). Association for Computing Machinery, pp. 264-271, Bio‑inspired Information and Communications Technologies, New York City, New York, United States, 03/12/2015. 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. p. 264-271.

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

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KW - Autonomous agents

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

Abstract

Conference

Keywords

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