Literature DB >> 33930150

Inertial Tail Effects during Righting of Squirrels in unexpected Falls: From Behavior to Robotics.

Toshihiko Fukushima1, Robert Siddall1, Fabian Schwab1, Séverine Toussaint2, Greg Byrnes3, John A Nyakatura2, Ardian Jusufi1.   

Abstract

Arboreal mammals navigate a highly three dimensional and discontinuous habitat. Among arboreal mammals, squirrels demonstrate impressive agility. In a recent 'viral' YouTube video, unsuspecting squirrels were mechanically catapulted off of a track, inducing an initially uncontrolled rotation of the body. Interestingly, they skillfully stabilized themselves using tail motion, which ultimately allowed the squirrels to land successfully. Here we analyze the mechanism by which the squirrels recover from large body angular rates. We analyzed from the video that squirrels first use their tail to help stabilizing their head to visually fix a landing site. Then the tail starts to rotate to help stabilizing the body, preparing themselves for landing. To analyze further the mechanism of this tail use during mid-air, we built a multibody squirrel model and showed the righting strategy based on body inertia moment changes and active angular momentum transfer between axes. To validate the hypothesized strategy, we made a squirrel-like robot and demonstrated a fall-stabilizing experiment. Our results demonstrate squirrel's long tail, despite comprising just 3% of body mass, can inertially stabilize a rapidly rotating body. This research contributes to better understanding the importance of long tails for righting mechanisms in animals living in complex environments such as trees.
© The Author(s) 2021. Published by Oxford University Press on behalf of the Society for Integrative and Comparative Biology. All rights reserved. [br]For permissions please email: journals.permissions@oup.com.

Entities:  

Keywords:  model; righting; robot; rodents; tail

Year:  2021        PMID: 33930150     DOI: 10.1093/icb/icab023

Source DB:  PubMed          Journal:  Integr Comp Biol        ISSN: 1540-7063            Impact factor:   3.326


  1 in total

1.  Body Caudal Undulation Measured by Soft Sensors and Emulated by Soft Artificial Muscles.

Authors:  Fabian Schwab; Elias T Lunsford; Taehwa Hong; Fabian Wiesemüller; Mirko Kovac; Yong-Lae Park; Otar Akanyeti; James C Liao; Ardian Jusufi
Journal:  Integr Comp Biol       Date:  2021-11-17       Impact factor: 3.326

  1 in total

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