Designing higher fourier harmonics of Tegotae function using genetic algorithm - A case study with an earthworm locomotion

Takeshi Kano, Ryu Wakimoto, Mitsutoshi Sato, Ayumi Shinohara, Akio Ishiguro

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

'Tegotae' is a Japanese concept describing how well a perceived reaction matches a generated action. We previously proposed a novel decentralised control scheme for animals' adaptive locomotion based on a Tegotae function, a function which quantifies Tegotae and is generally given by the product of action and reaction terms. Although this scheme is helpful for extracting common control principles underlying various types of animal locomotion, there remains further room for improvement of its design. Specifically, while the previous works assumed that the action term is given by a sinusoidal function, it is expected that introducing higher Fourier harmonics in the action term improves locomotion performance. In this study, taking earthworm locomotion as an example, we design a Tegotae function whose action term includes higher Fourier harmonics by using a genetic algorithm. We demonstrate via simulations that the performance improves by implementing the higher Fourier harmonics.

Original languageEnglish
Article number054001
JournalBioinspiration and Biomimetics
Volume14
Issue number5
DOIs
Publication statusPublished - 2019 Aug 9

Keywords

  • Tegotae function
  • decentralized control
  • earthworm locomotion
  • genetic algorithm

ASJC Scopus subject areas

  • Biotechnology
  • Biophysics
  • Biochemistry
  • Molecular Medicine
  • Engineering (miscellaneous)

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