Power-law distribution of long-term experimental data in swarm robotics
Power-law distribution of long-term experimental data in swarm robotics
Bio-inspired aggregation is one of the most fundamental behaviours that has been studied in swarm robotic for more than two decades. Biology revealed that the environmental characteristics are very important factors in aggregation of social insects and other animals. In this paper, we study the effects of different environmental factors such as size and texture of aggregation cues using real robots. In addition, we propose a mathematical model to predict the behaviour of the aggregation during an experiment.
Aggregation, Modelling, Power-law distribution, Swarm robotics
551-559
Arvin, Farshad
5bbe0465-31d7-4c19-aa18-2781bf4045fa
Attar, Abdolrahman
f5efd538-042a-4647-9d46-1370d3049b72
Turgut, Ali Emre
148c7afe-b3a1-48ed-9d26-25bbf858a054
Yue, Shigang
1da026a7-21db-4328-bfa1-b1cb30040143
Arvin, Farshad
5bbe0465-31d7-4c19-aa18-2781bf4045fa
Attar, Abdolrahman
f5efd538-042a-4647-9d46-1370d3049b72
Turgut, Ali Emre
148c7afe-b3a1-48ed-9d26-25bbf858a054
Yue, Shigang
1da026a7-21db-4328-bfa1-b1cb30040143
Arvin, Farshad, Attar, Abdolrahman, Turgut, Ali Emre and Yue, Shigang
(2015)
Power-law distribution of long-term experimental data in swarm robotics.
Gelbukh, Alexander, Tan, Ying, Das, Swagatam, Engelbrecht, Andries, Buarque, Fernando and Shi, Yuhui
(eds.)
In Advances in Swarm and Computational Intelligence - 6th International Conference, ICSI 2015 held in conjunction with the 2nd BRICS Congress, CCI 2015, Proceedings.
vol. 9140,
Springer.
.
(doi:10.1007/978-3-319-20466-6_58).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Bio-inspired aggregation is one of the most fundamental behaviours that has been studied in swarm robotic for more than two decades. Biology revealed that the environmental characteristics are very important factors in aggregation of social insects and other animals. In this paper, we study the effects of different environmental factors such as size and texture of aggregation cues using real robots. In addition, we propose a mathematical model to predict the behaviour of the aggregation during an experiment.
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e-pub ahead of print date: 1 January 2015
Additional Information:
Publisher Copyright:
© Springer International Publishing Switzerland 2015.
Venue - Dates:
6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the 2nd BRICS Congress on Computational Intelligence, CCI 2015, , Beijing, China, 2015-06-25 - 2015-06-28
Keywords:
Aggregation, Modelling, Power-law distribution, Swarm robotics
Identifiers
Local EPrints ID: 479516
URI: http://eprints.soton.ac.uk/id/eprint/479516
ISSN: 0302-9743
PURE UUID: 978a4622-91d9-470d-83c2-7942665b12ec
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Date deposited: 25 Jul 2023 16:52
Last modified: 17 Mar 2024 01:12
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Contributors
Author:
Farshad Arvin
Author:
Abdolrahman Attar
Author:
Ali Emre Turgut
Author:
Shigang Yue
Editor:
Alexander Gelbukh
Editor:
Ying Tan
Editor:
Swagatam Das
Editor:
Andries Engelbrecht
Editor:
Fernando Buarque
Editor:
Yuhui Shi
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