Literature DB >> 20185859

The role of intrinsic muscle properties for stable hopping--stability is achieved by the force-velocity relation.

D F B Haeufle1, S Grimmer, A Seyfarth.   

Abstract

A reductionist approach was presented to investigate which level of detail of the physiological muscle is required for stable locomotion. Periodic movements of a simplified one-dimensional hopping model with a Hill-type muscle (one contractile element, neither serial nor parallel elastic elements) were analyzed. Force-length and force-velocity relations of the muscle were varied in three levels of approximation (constant, linear and Hill-shaped nonlinear) resulting in nine different hopping models of different complexity. Stability of these models was evaluated by return map analysis and the performance by the maximum hopping height. The simplest model (constant force-length and constant force-velocity relations) outperformed all others in the maximum hopping height but was unstable. Stable hopping was achieved with linear and Hill-shaped nonlinear characteristic of the force-velocity relation. The characteristics of the force-length relation marginally influenced hopping stability. The results of this approach indicate that the intrinsic properties of the contractile element are responsible for stabilization of periodic movements. This connotes that (a) complex movements like legged locomotion could benefit from stabilizing effects of muscle properties, and (b) technical systems could benefit from the emerging stability when implementing biological characteristics into artificial muscles.

Mesh:

Year:  2010        PMID: 20185859     DOI: 10.1088/1748-3182/5/1/016004

Source DB:  PubMed          Journal:  Bioinspir Biomim        ISSN: 1748-3182            Impact factor:   2.956


  10 in total

1.  Integration of intrinsic muscle properties, feed-forward and feedback signals for generating and stabilizing hopping.

Authors:  D F B Haeufle; S Grimmer; K-T Kalveram; A Seyfarth
Journal:  J R Soc Interface       Date:  2012-01-04       Impact factor: 4.118

2.  A systems-theoretic analysis of low-level human motor control: application to a single-joint arm model.

Authors:  Stefanie Brändle; Syn Schmitt; Matthias A Müller
Journal:  J Math Biol       Date:  2019-11-26       Impact factor: 2.259

3.  Spring-like leg behaviour, musculoskeletal mechanics and control in maximum and submaximum height human hopping.

Authors:  Maarten F Bobbert; L J Richard Casius
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2011-05-27       Impact factor: 6.237

4.  Whole Body Coordination for Self-Assistance in Locomotion.

Authors:  André Seyfarth; Guoping Zhao; Henrik Jörntell
Journal:  Front Neurorobot       Date:  2022-06-10       Impact factor: 3.493

5.  Sensor-Motor Maps for Describing Linear Reflex Composition in Hopping.

Authors:  Christian Schumacher; André Seyfarth
Journal:  Front Comput Neurosci       Date:  2017-11-27       Impact factor: 2.380

6.  Effective Viscous Damping Enables Morphological Computation in Legged Locomotion.

Authors:  An Mo; Fabio Izzi; Daniel F B Haeufle; Alexander Badri-Spröwitz
Journal:  Front Robot AI       Date:  2020-08-28

7.  Morphological Computation Increases From Lower- to Higher-Level of Biological Motor Control Hierarchy.

Authors:  Daniel F B Haeufle; Katrin Stollenmaier; Isabelle Heinrich; Syn Schmitt; Keyan Ghazi-Zahedi
Journal:  Front Robot AI       Date:  2020-10-21

8.  Muscles Reduce Neuronal Information Load: Quantification of Control Effort in Biological vs. Robotic Pointing and Walking.

Authors:  Daniel F B Haeufle; Isabell Wochner; David Holzmüller; Danny Driess; Michael Günther; Syn Schmitt
Journal:  Front Robot AI       Date:  2020-06-24

9.  Human-like hopping in machines : Feedback- versus feed-forward-controlled motions.

Authors:  Jonathan Oehlke; Philipp Beckerle; André Seyfarth; Maziar A Sharbafi
Journal:  Biol Cybern       Date:  2018-10-28       Impact factor: 2.086

10.  A little damping goes a long way: a simulation study of how damping influences task-level stability in running.

Authors:  Steve Heim; Matthew Millard; Charlotte Le Mouel; Alexander Badri-Spröwitz
Journal:  Biol Lett       Date:  2020-09-23       Impact factor: 3.703

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.