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Morphological intelligence counters foot slipping in the desert locust and dynamic robots

During dynamic terrestrial locomotion, animals use complex multifunctional feet to extract friction from the environment. However, whether roboticists assume sufficient surface friction for locomotion or actively compensate for slipping, they use relatively simple point-contact feet. We seek to unde...

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Autores principales: Woodward, Matthew A., Sitti, Metin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6130395/
https://www.ncbi.nlm.nih.gov/pubmed/30135101
http://dx.doi.org/10.1073/pnas.1804239115
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author Woodward, Matthew A.
Sitti, Metin
author_facet Woodward, Matthew A.
Sitti, Metin
author_sort Woodward, Matthew A.
collection PubMed
description During dynamic terrestrial locomotion, animals use complex multifunctional feet to extract friction from the environment. However, whether roboticists assume sufficient surface friction for locomotion or actively compensate for slipping, they use relatively simple point-contact feet. We seek to understand and extract the morphological adaptations of animal feet that contribute to enhancing friction on diverse surfaces, such as the desert locust (Schistocerca gregaria) [Bennet-Clark HC (1975) J Exp Biol 63:53–83], which has both wet adhesive pads and spines. A buckling region in their knee to accommodate slipping [Bayley TG, Sutton GP, Burrows M (2012) J Exp Biol 215:1151–1161], slow nerve conduction velocity (0.5–3 m/s) [Pearson KG, Stein RB, Malhotra SK (1970) J Exp Biol 53:299–316], and an ecological pressure to enhance jumping performance for survival [Hawlena D, Kress H, Dufresne ER, Schmitz OJ (2011) Funct Ecol 25:279–288] further suggest that the locust operates near the limits of its surface friction, but without sufficient time to actively control its feet. Therefore, all surface adaptation must be through passive mechanics (morphological intelligence), which are unknown. Here, we report the slipping behavior, dynamic attachment, passive mechanics, and interplay between the spines and adhesive pads, studied through both biological and robotic experiments, which contribute to the locust’s ability to jump robustly from diverse surfaces. We found slipping to be surface-dependent and common (e.g., wood 1.32 [Formula: see text] 1.19 slips per jump), yet the morphological intelligence of the feet produces a significant chance to reengage the surface (e.g., wood 1.10 [Formula: see text] 1.13 reengagements per jump). Additionally, a discovered noncontact-type jump, further studied robotically, broadens the applicability of the morphological adaptations to both static and dynamic attachment.
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spelling pubmed-61303952018-09-12 Morphological intelligence counters foot slipping in the desert locust and dynamic robots Woodward, Matthew A. Sitti, Metin Proc Natl Acad Sci U S A PNAS Plus During dynamic terrestrial locomotion, animals use complex multifunctional feet to extract friction from the environment. However, whether roboticists assume sufficient surface friction for locomotion or actively compensate for slipping, they use relatively simple point-contact feet. We seek to understand and extract the morphological adaptations of animal feet that contribute to enhancing friction on diverse surfaces, such as the desert locust (Schistocerca gregaria) [Bennet-Clark HC (1975) J Exp Biol 63:53–83], which has both wet adhesive pads and spines. A buckling region in their knee to accommodate slipping [Bayley TG, Sutton GP, Burrows M (2012) J Exp Biol 215:1151–1161], slow nerve conduction velocity (0.5–3 m/s) [Pearson KG, Stein RB, Malhotra SK (1970) J Exp Biol 53:299–316], and an ecological pressure to enhance jumping performance for survival [Hawlena D, Kress H, Dufresne ER, Schmitz OJ (2011) Funct Ecol 25:279–288] further suggest that the locust operates near the limits of its surface friction, but without sufficient time to actively control its feet. Therefore, all surface adaptation must be through passive mechanics (morphological intelligence), which are unknown. Here, we report the slipping behavior, dynamic attachment, passive mechanics, and interplay between the spines and adhesive pads, studied through both biological and robotic experiments, which contribute to the locust’s ability to jump robustly from diverse surfaces. We found slipping to be surface-dependent and common (e.g., wood 1.32 [Formula: see text] 1.19 slips per jump), yet the morphological intelligence of the feet produces a significant chance to reengage the surface (e.g., wood 1.10 [Formula: see text] 1.13 reengagements per jump). Additionally, a discovered noncontact-type jump, further studied robotically, broadens the applicability of the morphological adaptations to both static and dynamic attachment. National Academy of Sciences 2018-09-04 2018-08-22 /pmc/articles/PMC6130395/ /pubmed/30135101 http://dx.doi.org/10.1073/pnas.1804239115 Text en Copyright © 2018 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle PNAS Plus
Woodward, Matthew A.
Sitti, Metin
Morphological intelligence counters foot slipping in the desert locust and dynamic robots
title Morphological intelligence counters foot slipping in the desert locust and dynamic robots
title_full Morphological intelligence counters foot slipping in the desert locust and dynamic robots
title_fullStr Morphological intelligence counters foot slipping in the desert locust and dynamic robots
title_full_unstemmed Morphological intelligence counters foot slipping in the desert locust and dynamic robots
title_short Morphological intelligence counters foot slipping in the desert locust and dynamic robots
title_sort morphological intelligence counters foot slipping in the desert locust and dynamic robots
topic PNAS Plus
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6130395/
https://www.ncbi.nlm.nih.gov/pubmed/30135101
http://dx.doi.org/10.1073/pnas.1804239115
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