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

  • Farshad Arvin
  • Abdolrahman Attar
  • Ali Emre Turgut
  • Shigang Yue
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9140)

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.

Keywords

Power-law distribution Swarm robotics Aggregation Modelling 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Farshad Arvin
    • 1
  • Abdolrahman Attar
    • 1
  • Ali Emre Turgut
    • 2
  • Shigang Yue
    • 1
  1. 1.School of Computer ScienceUniversity of LincolnLincolnUK
  2. 2.Mechanical Engineering DepartmentMiddle East Technical UniversityAnkaraTurkey

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