Literature DB >> 21697430

Building a robotic link between muscle dynamics and hydrodynamics.

Christopher T Richards1.   

Abstract

This study used a novel feedback approach to control a robotic foot using force and length signals transmitted from an isolated Xenopus laevis frog muscle. The foot's environment (inertial versus hydrodynamic), gearing (outlever/inlever) and size were changed to alter the muscle's load. Upon nerve stimulation (250 Hz, 80 ms train duration), variation in loading generated a range of muscle stress (19.8±5.3 to 66.0±22.5 kPa), work (1.89±0.67 to 6.87±2.96 J kg(-1) muscle) and power (12.4±7.5 to 64.8±28.3 W kg(-1) muscle; mean ± s.d., N=6 frogs). Inertial versus hydrodynamic loading dramatically shifted contractile dynamics. With the foot in water, the muscle generated ∼30% higher force, yet shortened slower, producing lower power than inertial loading. Power increased in air from 22.6±5.8 to 63.6±27.2 W kg(-1) muscle in response to doubling the gear ratio, but did not increase in water. Surprisingly, altering foot size diminished muscle performance in water, causing power to drop significantly from 41.6±11.1 to 25.1±8.0 W kg(-1) muscle as foot area was doubled. Thus, morphological modifications influenced muscle dynamics independently of neural control; however, changes in loading environment and gearing affected contractile output more strongly than changes in foot size. Confirming recent theory, these findings demonstrate how muscle contractile output can be modulated solely by altering the mechanical environment.

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Year:  2011        PMID: 21697430     DOI: 10.1242/jeb.056671

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


  4 in total

1.  Built for rowing: frog muscle is tuned to limb morphology to power swimming.

Authors:  Christopher T Richards; Christofer J Clemente
Journal:  J R Soc Interface       Date:  2013-05-15       Impact factor: 4.118

2.  Limb bone morphology, bone strength, and cursoriality in lagomorphs.

Authors:  Jesse W Young; Robert Danczak; Gabrielle A Russo; Connie D Fellmann
Journal:  J Anat       Date:  2014-07-21       Impact factor: 2.610

Review 3.  The role of mechanical resonance in the neural control of swimming in fishes.

Authors:  Eric D Tytell; Chia-Yu Hsu; Lisa J Fauci
Journal:  Zoology (Jena)       Date:  2013-12-21       Impact factor: 2.240

4.  Tuning of feedforward control enables stable muscle force-length dynamics after loss of autogenic proprioceptive feedback.

Authors:  Joanne C Gordon; Natalie C Holt; Andrew Biewener; Monica A Daley
Journal:  Elife       Date:  2020-06-23       Impact factor: 8.140

  4 in total

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