Traversing Tight Tunnels—Implementing an Adaptive Concertina Gait in a Biomimetic Snake Robot

Snakes move through cluttered habitats and tight spaces with extraordinary ease, and consequently snake robots are a popular design for such situations. The remarkable locomotor performance of snakes is due in part to their diversity of locomotor modes for addressing a range of environmental challenges. Concertina locomotion consists of alternating periods of static anchoring and movement along the snake’s body, and is used to negotiate narrow spaces such as tunnels or bare branches. However, concertina locomotion has rarely been implemented in snake robots. In this paper, the anchor formation process in live snakes during concertina locomotion is quantified and used to implement concertina locomotion in a snake robot, with automatic detection of the width of the tunnel walls to modulate the waveform. This allows effective concertina locomotion in tunnels of unknown width, without prior knowledge of tunnel geometry, expanding the range of gaits in snake robots.