Mechanical diffraction of a snake-like robot through an array of pegs

ORAL

Abstract

Snakes successfully navigate through a diversity of environments which can include hard ground, loose sand, twigs and leaf litter. Despite the seeming simplicity of this movement, the interaction with the ground coupled with intermittent obstacle collisions can give rise to complex dynamics. We study these interactions in a model system, in which a 13-segment snake-like robot interacts with a row of five evenly-spaced vertical pegs oriented perpendicular to the robot\textsc{\char13}s initial direction of motion. The robot is placed at different positions within a region with lateral and longitudinal dimensions set by the peg spacing and distance traveled in one undulation cycle. Forces imparted to the pegs are recorded as a function of time, revealing that the robot preferentially applies forces to the sides of the pegs and that contributions from all segments are significant. Despite the complexity of these interactions, we find that the robot emerges along preferred paths, which we characterize by the angle of rotation of the direction of travel, and that these angles decrease with increasing peg spacing. Numerical simulations are in excellent agreement with experiments and allow for a more thorough exploration of this dependence.

Authors

  • Jennifer Rieser

    Georgia Institute of Technology, Georgia Inst of Tech

  • Perrin E Schiebel

    Georgia Institute of Technology

  • Arman Pazouki

    California State University, Los Angeles

  • Alex Hubbard

    Georgia Institute of Technology

  • Feifei Qian

    Georgia Institute of Technology

  • Zachary Goddard

    Georgia Institute of Technology

  • Tingnan Zhang

    Georgia Institute of Technology

  • Andrew Zangwill

    Georgia Institute of Technology

  • Dan Negrut

    University of Wisconsin-Madison

  • Daniel Goldman

    Georgia Institute of Technology, Georgia Inst of Tech, GeorgiaTech