“TEGOTAE”-based control of bipedal walking

Dai Owaki, Shun Ya Horikiri, Jun Nishii, Akio Ishiguro

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

2 Citations (Scopus)


Despite the appealing concept of “central pattern generator” (CPG)-based control for bipedal walking, there is currently no systematic methodology for designing a CPG controller. To tackle this problem, we employ a unique approach: We attempt to design local controllers in the CPG model for bipedal walking based on the viewpoint of “TEGOTAE”, which is a Japanese concept describing how well a perceived reaction matches an expectation. To this end, we introduce a TEGOTAE function that quantitatively measures TEGOTAE. Using this function, we can design decentralized controllers in a systematic manner. We designed a two-dimensional bipedal walking model using TEGOTAE functions and constructed simulations using the model to verify the validity of the proposed design scheme. We found that our model can stably walk on flat terrain.

Original languageEnglish
Title of host publicationBiomimetic and Biohybrid Systems - 5th International Conference, Living Machines 2016, Proceedings
EditorsNathan F. Lepora, Anna Mura, Marc Desmulliez, Michael Mangan, Paul F.M.J. Verschure, Tony J. Prescott
PublisherSpringer Verlag
Number of pages8
ISBN (Print)9783319424163
Publication statusPublished - 2016
Event5th International Conference on Biomimetic and Biohybrid Systems, Living Machines 2016 - Edinburgh, United Kingdom
Duration: 2016 Jul 192016 Jul 22

Publication series

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


Other5th International Conference on Biomimetic and Biohybrid Systems, Living Machines 2016
Country/TerritoryUnited Kingdom


  • Bipedal walking
  • Central pattern generator (CPG)
  • Plantar sensation

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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