Power-Law Distribution of Long-Term Experimental Data in Swarm Robotics

Date

2015-06-02

Author

Arvin, Farshad
Attar, Abdolrahman
Turgut, Ali Emre
Yue, Shigang

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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.

Subject Keywords

Power-law distribution, Swarm robotics, Aggregation, Modelling

URI

http://dx.doi.org/10.1007/978-3-319-20466-6_58
https://hdl.handle.net/11511/96581

DOI

https://doi.org/10.1007/978-3-319-20466-6_58

Conference Name

ICSI 2015: Advances in Swarm and Computational Intelligence

Collections

Department of Mechanical Engineering, Conference / Seminar

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Citation Formats

F. Arvin, A. Attar, A. E. Turgut, and S. Yue, “Power-Law Distribution of Long-Term Experimental Data in Swarm Robotics,” Pekin, Çin, 2015, vol. 9140, Accessed: 00, 2022. [Online]. Available: http://dx.doi.org/10.1007/978-3-319-20466-6_58.