Robotic modelling of snake traversing large, smooth obstacles reveals stability benefits of body compliance

Author:

Fu Qiyuan1ORCID,Li Chen1ORCID

Affiliation:

1. Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, USA

Abstract

Snakes can move through almost any terrain. Although their locomotion on flat surfaces using planar gaits is inherently stable, when snakes deform their body out of plane to traverse complex terrain, maintaining stability becomes a challenge. On trees and desert dunes, snakes grip branches or brace against depressed sand for stability. However, how they stably surmount obstacles like boulders too large and smooth to gain such ‘anchor points’ is less understood. Similarly, snake robots are challenged to stably traverse large, smooth obstacles for search and rescue and building inspection. Our recent study discovered that snakes combine body lateral undulation and cantilevering to stably traverse large steps. Here, we developed a snake robot with this gait and snake-like anisotropic friction and used it as a physical model to understand stability principles. The robot traversed steps as high as a third of its body length rapidly and stably. However, on higher steps, it was more likely to fail due to more frequent rolling and flipping over, which was absent in the snake with a compliant body. Adding body compliance reduced the robot's roll instability by statistically improving surface contact, without reducing speed. Besides advancing understanding of snake locomotion, our robot achieved high traversal speed surpassing most previous snake robots and approaching snakes, while maintaining high traversal probability.

Funder

Burroughs Wellcome Fund

Johns Hopkins University

Arnold & Mabel Beckman Foundation

Publisher

The Royal Society

Subject

Multidisciplinary

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2. Ground Adaptability of Crawler Mobile Robots with Sub-Crawler Rotary Joint Compliance;Journal of Robotics and Mechatronics;2024-06-20

3. Anisotropic body compliance facilitates robotic sidewinding in complex environments;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

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