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

2015-06-02
Arvin, Farshad
Attar, Abdolrahman
Turgut, Ali Emre
Yue, Shigang
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.
ICSI 2015: Advances in Swarm and Computational Intelligence

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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.