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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
Metadata
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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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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.