Emergence of leadership in evolving robot colony

Seung Hyun Lee, Si Hyuk Yi, Sung Bae Cho

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Growing interest in robot colony has led to initial experimental applications in biology, sociology, and synecology. Especially, it is noticeable that some researchers have tried to study on robot colony using evolutionary computational. In this paper, we present an evolutionary robot colony model and analyze their behavior for leadership characteristics in group of robots. Each robot has its own social position: leader, follower, and stranger. Leaders have responsibility of the existence of its group while followers choose their behavior going after their leaders'. Strangers behave independently without a leader or a follower. Transition between social positions is controlled by simple rules and probability, and behaviors change adaptively to the environment using evolutionary computation. Simulation has been conducted with 2-D based robot simulator Enki of EPuck mobile robots. Through experiments, we have found that the more centralized structure emerges in the evolutionary robot colony with a few leaders and safety behavior policy when facing with a difficult condition.

Original languageEnglish
Title of host publicationNeural Information Processing - 18th International Conference, ICONIP 2011, Proceedings
Number of pages9
EditionPART 3
Publication statusPublished - 2011
Event18th International Conference on Neural Information Processing, ICONIP 2011 - Shanghai, China
Duration: 2011 Nov 132011 Nov 17

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume7064 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other18th International Conference on Neural Information Processing, ICONIP 2011

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)


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