Skip to main navigation Skip to search Skip to main content

Numerical and analytical methods for synthesis of central pattern generators

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents numerical and analytical methods for synthesis of a CPG network to acquire desired locomotor patterns. The CPG network is modeled as a chain of coupled Hopf oscillators with a coupling scheme that eliminates the influence of afferent signals on amplitude of the oscillator. The numerical method converts the related CPG parameters into dynamical systems that evolve as part of the CPG network dynamics. The frequency, amplitude and phase relations of teaching signals can be encoded by the CPG network with the proposed learning rules. For direct specification of the phase relations, the expression that defines the dependence of phase difference on coupling weights is analytically derived. The ability of the numerical methods to learn instructed locomotor pattern is proved with simulations. The effectiveness of the analytical method is also validated by the numerical results.

Original languageEnglish
Title of host publicationIntelligent Robotics and Applications - 5th International Conference, ICIRA 2012, Proceedings
Pages342-351
Number of pages10
EditionPART 3
DOIs
StatePublished - 2012
Event5th International Conference on Intelligent Robotics and Applications, ICIRA 2012 - Montreal, QC, Canada
Duration: 3 Oct 20125 Oct 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume7508 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Conference on Intelligent Robotics and Applications, ICIRA 2012
Country/TerritoryCanada
CityMontreal, QC
Period3/10/125/10/12

Keywords

  • Central pattern generators
  • Learning
  • Synthesis method

Fingerprint

Dive into the research topics of 'Numerical and analytical methods for synthesis of central pattern generators'. Together they form a unique fingerprint.

Cite this