Literature DB >> 3980486

Biped gait stabilization via foot placement.

M A Townsend.   

Abstract

It is shown that stable biped gaits can be achieved by discrete foot placement based on feedback of information available at the time of foot placement. The model, developed by Townsend (1981, J. Biomechanics 14, p. 727) to evaluate the coordinations of torso motions, subsumes most of the salient body members and motions. The modeling yielded a generalized inverted pendulum with a movable support point which physically defines lateral foot placement. The principal result is that stable gaits can be defined by foot placements which are a linear function of the system center of mass position and velocity at the time of foot placement (only). Gaits may be 'smooth' or may have impulsive corrections to adjust the character of the motions and foot placement. Several general algorithms and specific simulations are presented, and calculations for non-impulsive gaits and impulsive corrections are presented. The model predictions are compared with published data. The predictions are sufficiently close to the data such that the general algorithms appear to be validated. Of particular interest are the non-sinusoidal character of the motions and the relatively simple algorithms. Indeed, the simplicity of the algorithms suggests the practical possibility of legged mobile robots. Accordingly, further investigation seems warranted for determining the parametric variation and control of gait. Some attention is also given to continuous-feedback control such as would exist during double-leg support and in specialized tasks such as rope walking or skating. Subsequent investigation will consider superposition of single and double leg support, although clearly the discrete gaits pose the more restrictive stability problem.

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Year:  1985        PMID: 3980486     DOI: 10.1016/0021-9290(85)90042-9

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  37 in total

1.  Motor-equivalent covariation stabilizes step parameters and center of mass position during treadmill walking.

Authors:  Julius Verrel; Martin Lövdén; Ulman Lindenberger
Journal:  Exp Brain Res       Date:  2010-09-23       Impact factor: 1.972

2.  Stability control during the performance of a simultaneous obstacle avoidance and auditory Stroop task.

Authors:  Timothy A Worden; Lori Ann Vallis
Journal:  Exp Brain Res       Date:  2016-02       Impact factor: 1.972

3.  Toward Balance Recovery With Leg Prostheses Using Neuromuscular Model Control.

Authors:  Nitish Thatte; Hartmut Geyer
Journal:  IEEE Trans Biomed Eng       Date:  2015-08-25       Impact factor: 4.538

4.  Predictive control of body mass trajectory in a two-step sequence.

Authors:  Ian N Lyon; Brian L Day
Journal:  Exp Brain Res       Date:  2004-10-09       Impact factor: 1.972

5.  A direct comparison of local dynamic stability during unperturbed standing and walking.

Authors:  Hyun Gu Kang; Jonathan B Dingwell
Journal:  Exp Brain Res       Date:  2006-01-24       Impact factor: 1.972

6.  Responses of human hip abductor muscles to lateral balance perturbations during walking.

Authors:  A L Hof; J Duysens
Journal:  Exp Brain Res       Date:  2013-08-10       Impact factor: 1.972

7.  An apparent contradiction: increasing variability to achieve greater precision?

Authors:  Noah J Rosenblatt; Christopher P Hurt; Mark L Latash; Mark D Grabiner
Journal:  Exp Brain Res       Date:  2013-10-27       Impact factor: 1.972

8.  Muscle contributions to frontal plane angular momentum during walking.

Authors:  Richard R Neptune; Craig P McGowan
Journal:  J Biomech       Date:  2016-07-22       Impact factor: 2.712

9.  Effects of aging and arm swing on the metabolic cost of stability in human walking.

Authors:  Justus D Ortega; Leslie A Fehlman; Claire T Farley
Journal:  J Biomech       Date:  2008-09-23       Impact factor: 2.712

10.  Hip proprioceptive feedback influences the control of mediolateral stability during human walking.

Authors:  Devin C Roden-Reynolds; Megan H Walker; Camille R Wasserman; Jesse C Dean
Journal:  J Neurophysiol       Date:  2015-08-19       Impact factor: 2.714

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