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Soft Robotic Snake Locomotion: Modeling and Experimental Assessment

Dimuthu D. K. Arachchige, Yue Chen, Isuru S. Godage

Year
2021
Citations
19

Abstract

Snakes are a remarkable evolutionary success story. Numerous snake-inspired robots have been proposed over the years. Soft robotic snakes (SRS), with their continuous and smooth bending capability, can better mimic their biological counterparts' unique characteristics. Prior SRSs are limited to planar operation with a limited number of planar gaits. We propose a novel SRS with spatial bending ability and investigate snake locomotion gaits beyond the planar gaits of the state-of-the-art systems. We derive a complete floating-base kinematic model of the SRS and use the model to derive joint-space trajectories for serpentine and inward/outward rolling locomotion gaits. These gaits are experimentally validated under varying frequency and amplitude of gait cycles. The results qualitatively and quantitatively validate the proposed SRSs' ability to leverage spatial bending to achieve locomotion gaits not possible with current SRS designs.

Keywords

Leverage (statistics)KinematicsGaitComputer scienceRobotRobot locomotionBendingPlanarSimulationArtificial intelligence

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