Mitigating memory effects during undulatory locomotion on hysteretic materials

Abstract

While terrestrial locomotors often contend with permanently deformable substrates like sand, soil, and mud, principles of motion on such materials are lacking. We study the desert-specialist shovel-nosed snake traversing a model sand and find body inertia is negligible despite rapid transit and speed dependent granular reaction forces. New surface resistive force theory (RFT) calculation reveals how wave shape in these snakes minimizes material memory effects and optimizes escape performance given physiological power limitations. RFT explains the morphology and waveform-dependent performance of a diversity of non-sand-specialist snakes but overestimates the capability of those snakes which suffer high lateral slipping of the body. Robophysical experiments recapitulate aspects of these failure-prone snakes and elucidate how re-encountering previously deformed material hinders performance. This study reveals how memory effects stymied the locomotion of a diversity of snakes in our previous studies (Marvi et al., 2014) and indicates avenues to improve all-terrain robots.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jun 24, 2020
Source ID
10.7554/elife.51412

Entities

People

  • Alex M. Hubbard
  • Christian Hubicki
  • Daniel I. Goldman
  • Henry C. Astley
  • Jennifer M Rieser
  • Joseph R. Mendelson Iii
  • Kelimar Diaz
  • Ken Kamrin
  • Perrin E. Schiebel
  • Shashank Agarwal

Organizations

  • American Society for Engineering Education
  • Army Research Office
  • Georgia Tech
  • Massachusetts Institute of Technology
  • National Science Foundation
  • Simons Foundation
  • University of Akron
  • Zoo Atlanta

Tags

Readers

  • Robotics and Automation.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Neural Networks
  • Autonomy