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ORIGINAL RESEARCH article

Front. Robot. AI
Sec. Soft Robotics
Volume 11 - 2024 | doi: 10.3389/frobt.2024.1298676
This article is part of the Research Topic Vibration-Based Robot Locomotion View all 4 articles

Robust self-propulsion in sand using simply controlled vibrating cubes

Provisionally accepted
  • Georgia Institute of Technology, Atlanta, Georgia, United States

The final, formatted version of the article will be published soon.

    Much of the Earth and many surfaces of extraterrestrial bodies are composed of non-cohesive particulate matter. Locomoting on granular terrain is challenging for common robotic devices, either wheeled or legged. In this work, we discover a robust alternative locomotion mechanism on granular media -generating movement via self-vibration. To demonstrate the effectiveness of this locomotion mechanism, we develop a cube-shaped robot with an embedded vibratory motor and conduct systematic experiments on granular terrains of various particle properties and slopes. We investigate how locomotion changes as a function of vibration frequency/intensity on such granular terrains. Compared to hard surfaces, we find such a vibratory locomotion mechanism enables the robot to move faster, and more stably on granular surfaces, facilitated by the interaction between the body and surrounding grains. We develop a numerical simulation of a vibrating single cube on granular media, enabling us to justify our hypothesis that the cube achieves locomotion through the oscillations excited at a distance from the cube's center of mass.The simplicity in structural design and controls of this robotic system indicates that vibratory locomotion can be a valuable alternative way to produce robust locomotion on granular terrains.We further demonstrate that such cube-shape robots can be used as modular units for vibratory robots with capabilities of maneuverable forward and turning motions, showing potential practical scenarios for robotic systems.

    Keywords: Vibration, granular media, robot, Locomotion, Modular robot, robophysics, DEM simulation

    Received: 22 Sep 2023; Accepted: 11 Jul 2024.

    Copyright: © 2024 Liu, Wang, Kojouharov, Hammond III and Goldman. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Frank L. Hammond III, Georgia Institute of Technology, Atlanta, 30332, Georgia, United States
    Daniel I. Goldman, Georgia Institute of Technology, Atlanta, 30332, Georgia, United States

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