Task-oriented optimal configuration structure in a three-dimensional self-organizing robot by genetic algorithms

Kiyotaka Izumi, Hodaka Tamura, Keigo Watanabe

Research output: Contribution to journalConference article


This paper describes the construction of a task-oriented configuration structure in the cellular robotic system as a three-dimensional self-organizing robot by using Genetic Algorithms (GAs). To deal with the optimal configuration in three-dimensional environment, a special fitness of GA is introduced: it consists of the reachable height and lifting capacity of the robot. The simulation result shows that the present task-oriented configuration structure method in three dimensional environment can be used to find the desired configuration for a given task.

Original languageEnglish
Pages (from-to)II-740 - II-745
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Publication statusPublished - Dec 1 1999
Event1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics' - Tokyo, Jpn
Duration: Oct 12 1999Oct 15 1999

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Hardware and Architecture

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