Power-law distribution of long-term experimental data in swarm robotics

Arvin, Farshad, Attar, Rahman, Emre Turgut, Ali and Yue, Shigang (2015) Power-law distribution of long-term experimental data in swarm robotics. In: International Conference on Swarm Intelligence, 2 June 2015, Beijing.

ICSI-2015.pdf - Whole Document

Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive


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.

Keywords:Power-law distribution, Aggregation, Modelling
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
Divisions:College of Science > School of Computer Science
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ID Code:17627
Deposited On:10 Jun 2015 08:01

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