Literature DB >> 33500978

Peristaltic Waves as Optimal Gaits in Metameric Bio-Inspired Robots.

Daniele Agostinelli1, François Alouges2, Antonio DeSimone1,3.   

Abstract

Peristalsis, i.e., a motion pattern arising from the propagation of muscle contraction and expansion waves along the body, is a common locomotion strategy for limbless animals. Mimicking peristalsis in bio-inspired robots has attracted considerable attention in the literature. It has recently been observed that maximal velocity in a metameric earthworm-like robot is achieved by actuating the segments using a "phase coordination" principle. This paper shows that, in fact, peristalsis (which requires not only phase coordination, but also that all segments oscillate at same frequency and amplitude) emerges from optimization principles. More precisely, basing our analysis on the assumption of small deformations, we show that peristaltic waves provide the optimal actuation solution in the ideal case of a periodic infinite system, and that this is approximately true, modulo edge effects, for the real, finite length system. Therefore, this paper confirms the effectiveness of mimicking peristalsis in bio-inspired robots, at least in the small-deformation regime. Further research will be required to test the effectiveness of this strategy if large deformations are allowed.
Copyright © 2018 Agostinelli, Alouges and DeSimone.

Entities:  

Keywords:  biomimetic robots; crawling motility; lumbricus terrestris; metameric robots; optimization; peristalsis; self-propulsion; soft robotics

Year:  2018        PMID: 33500978      PMCID: PMC7806059          DOI: 10.3389/frobt.2018.00099

Source DB:  PubMed          Journal:  Front Robot AI        ISSN: 2296-9144


  13 in total

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Authors:  Markus P Nemitz; Pavel Mihaylov; Thomas W Barraclough; Dylan Ross; Adam A Stokes
Journal:  Soft Robot       Date:  2016-12-01       Impact factor: 8.071

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Authors:  Kundong Wang; Guozheng Yan; Guanying Ma; Dongdong Ye
Journal:  Ann Biomed Eng       Date:  2008-11-12       Impact factor: 3.934

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Authors: 
Journal:  J Exp Biol       Date:  1999-03       Impact factor: 3.312

8.  Gait Modulation in C. elegans: An Integrated Neuromechanical Model.

Authors:  Jordan H Boyle; Stefano Berri; Netta Cohen
Journal:  Front Comput Neurosci       Date:  2012-03-07       Impact factor: 2.380

9.  Gait control in a soft robot by sensing interactions with the environment using self-deformation.

Authors:  Takuya Umedachi; Takeshi Kano; Akio Ishiguro; Barry A Trimmer
Journal:  R Soc Open Sci       Date:  2016-12-07       Impact factor: 2.963

10.  Proprioceptive coupling within motor neurons drives C. elegans forward locomotion.

Authors:  Quan Wen; Michelle D Po; Elizabeth Hulme; Sway Chen; Xinyu Liu; Sen Wai Kwok; Marc Gershow; Andrew M Leifer; Victoria Butler; Christopher Fang-Yen; Taizo Kawano; William R Schafer; George Whitesides; Matthieu Wyart; Dmitri B Chklovskii; Mei Zhen; Aravinthan D T Samuel
Journal:  Neuron       Date:  2012-11-21       Impact factor: 17.173

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