On the task distribution between control and mechanical systems: A case study with an amoeboid modular robot

Akio Ishiguro, Masahiro Shimizu

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

2 Citations (Scopus)

Abstract

This paper introduces our robotic case study which is intended to intensively investigate the neural-body coupling, i.e., how the task distribution between control and mechanical systems should be achieved, so as to emerge useful functionalities. One of the significant features of this case study is that we have employed a collective behavioral approach. More specifically, we have focused on an "embodied" coupled nonlinear oscillator system by which we have generated one of the most primitive yet flexible locomotion, i.e., amoeboid locomotion, in the hope that this primitiveness allows us to investigate the neural-body coupling effectively. Experiments we have conducted strongly support that there exists an "ecologically-balanced" task distribution, under which significant abilities such as real-time adaptivity emerge.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsMax Lungarella, Rolf Pfeifer, Fumiya Iida, Josh Bongard
Pages144-153
Number of pages10
Publication statusPublished - 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4850 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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