Literature DB >> 12819262

Swing-leg retraction: a simple control model for stable running.

André Seyfarth1, Hartmut Geyer, Hugh Herr.   

Abstract

In running, the spring-like axial behavior of stance limbs is a well-known and remarkably general feature. Here we consider how the rotational behavior of limbs affects running stability. It is commonly observed that running animals retract their limbs just prior to ground contact, moving each foot rearward towards the ground. In this study, we employ a conservative spring-mass model to test the effects of swing-leg retraction on running stability. A feed-forward control scheme is applied where the swing-leg is retracted at constant angular velocity throughout the second half of the swing phase. The control scheme allows the spring-mass system to automatically adapt the angle of attack in response to disturbances in forward speed and stance-limb stiffness. Using a return map to investigate system stability, we propose an optimal swing-leg retraction model for the stabilization of flight phase apex height. The results of this study indicate that swing-leg retraction significantly improves the stability of spring-mass running, suggesting that swing-phase limb dynamics may play an important role in the stabilization of running animals.

Mesh:

Year:  2003        PMID: 12819262     DOI: 10.1242/jeb.00463

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  39 in total

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Authors:  Benjamin D Robertson; Gregory S Sawicki
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4.  Running stability is enhanced by a proximo-distal gradient in joint neuromechanical control.

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Journal:  J Exp Biol       Date:  2007-02       Impact factor: 3.312

5.  Unsteady locomotion: integrating muscle function with whole body dynamics and neuromuscular control.

Authors:  Andrew A Biewener; Monica A Daley
Journal:  J Exp Biol       Date:  2007-09       Impact factor: 3.312

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Authors:  Monica A Daley; Alexandra Voloshina; Andrew A Biewener
Journal:  J Physiol       Date:  2009-04-09       Impact factor: 5.182

7.  Constructing predictive models of human running.

Authors:  Horst-Moritz Maus; Shai Revzen; John Guckenheimer; Christian Ludwig; Johann Reger; Andre Seyfarth
Journal:  J R Soc Interface       Date:  2015-02-06       Impact factor: 4.118

8.  A modelling approach to the dynamics of gait initiation.

Authors:  Manish Anand; Justin Seipel; Shirley Rietdyk
Journal:  J R Soc Interface       Date:  2017-03       Impact factor: 4.118

9.  All common bipedal gaits emerge from a single passive model.

Authors:  Zhenyu Gan; Yevgeniy Yesilevskiy; Petr Zaytsev; C David Remy
Journal:  J R Soc Interface       Date:  2018-09-26       Impact factor: 4.118

10.  Two explanations for the compliant running paradox: reduced work of bouncing viscera and increased stability in uneven terrain.

Authors:  Monica A Daley; James R Usherwood
Journal:  Biol Lett       Date:  2010-03-24       Impact factor: 3.703

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