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Frequency Modulation of Body Waves to Improve Performance of Limbless Robots

  • Baxi Chong
  • , Tianyu Wang
  • , Jennifer M. Rieser
  • , Abdul Kaba
  • , Howie Choset
  • , Daniel I. Goldman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Sidewinder rattlesnakes generate movement through coordinated lateral and vertical traveling waves of body curvature. Previous biological and robotic studies have demonstrated that proper control and coordination of these two waves enables robust and versatile locomotion in complex environments. However, the propagation of the vertical wave, which sets the body-environment contact state, can affect static stability and lead to undesirable locomotion behaviors, especially for movement at low speeds. Here, we propose to stabilize gaits by modulations of the spatial frequency of the vertical wave, which can be used to tune the number of distinct body-environment contact patches (while maintaining a constant overall contact area). These modulations act to stabilize configurations that were previously statically unstable and therefore, by eliminating dynamic effects such as undesired turning, broaden the range of movements and behaviors accessible to limbless locomotors at a variety of speeds. Specifically, our approach identifies, for a given lateral wave, the spatial frequency of the vertical wave that statically stabilizes the locomotor and then uses geometric mechanics tools to identify the coordination (i.e., the phase shift) between the vertical and lateral waves that produces a desired motion. We demonstrate the effectiveness of our technique in robot experiments.

Original languageEnglish (US)
Title of host publicationRobotics
Subtitle of host publicationScience and Systems XVI
EditorsMarc Toussaint, Antonio Bicchi, Tucker Hermans
PublisherMassachusetts Institute of Technology
ISBN (Print)9780992374761
DOIs
StatePublished - 2020
Event16th Robotics: Science and Systems, RSS 2020 - Virtual, Online
Duration: Jul 12 2020Jul 16 2020

Publication series

NameRobotics: Science and Systems
ISSN (Print)2330-7668
ISSN (Electronic)2330-765X

Conference

Conference16th Robotics: Science and Systems, RSS 2020
CityVirtual, Online
Period7/12/207/16/20

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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