A distributed control model for the air-righting reflex of a cat

Ara - Arabyan, Derliang Tsai

Research output: Contribution to journalArticle

23 Citations (Scopus)

Abstract

A multisegment, multijoint model of a falling animal is presented to examine the effectiveness of a two-stage control scheme in a zero-momentum self-righting maneuver. The model contains a much larger number of degrees of freedom than is required to execute a self-righting maneuver and is thus capable of providing multiple solutions for the same task. The decentralized control scheme is designed to achieve gross turning in minimum time and to maintain a steady orientation relative to gravity after the turn has been achieved. The scheme is able to determine the sequence of steps necessary to execute the motor task and also incorporates learning features. Results from various simulations are presented and their implications discussed.

Original languageEnglish (US)
Pages (from-to)393-401
Number of pages9
JournalBiological Cybernetics
Volume79
Issue number5
StatePublished - 1998

Fingerprint

Righting Reflex
Gravitation
Cats
Air
Learning
Decentralized control
Momentum
Animals

ASJC Scopus subject areas

  • Biophysics

Cite this

A distributed control model for the air-righting reflex of a cat. / Arabyan, Ara -; Tsai, Derliang.

In: Biological Cybernetics, Vol. 79, No. 5, 1998, p. 393-401.

Research output: Contribution to journalArticle

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