Department of Complexity Science and Engineering, Graduate School of Frontier Science, the University of Tokyo, Kashiwa, Chiba, Japan.
Department of Physics, Graduate School of Science, the University of Tokyo, Tokyo, Japan.
PLoS One. 2023 Apr 5;18(4):e0283316. doi: 10.1371/journal.pone.0283316. eCollection 2023.
Peristalsis, a motion generated by the propagation of muscular contraction along the body axis, is one of the most common locomotion patterns in limbless animals. While the kinematics of peristalsis has been examined intensively, its kinetics remains unclear, partially due to the lack of suitable physical models to simulate the locomotion patterns and inner drive in soft-bodied animals. Inspired by a soft-bodied animal, Drosophila larvae, we propose a vacuum-actuated soft robot mimicking its crawling behaviour. The soft structure, made of hyperelastic silicone rubber, was designed to imitate the larval segmental hydrostatic structure. Referring to a numerical simulation by the finite element method, the dynamical change in the vacuum pressure in each segment was controlled accordingly, and the soft robots could exhibit peristaltic locomotion. The soft robots successfully reproduced two previous experimental phenomena on fly larvae: 1. Crawling speed in backward crawling is slower than in forward crawling. 2. Elongation of either the segmental contraction duration or intersegmental phase delay makes peristaltic crawling slow. Furthermore, our experimental results provided a novel prediction for the role of the contraction force in controlling the speed of peristaltic locomotion. These observations indicate that soft robots could serve to examine the kinetics of crawling behaviour in soft-bodied animals.
蠕动是一种由身体轴上的肌肉收缩传播产生的运动,是无肢动物最常见的运动模式之一。虽然蠕动的运动学已经得到了深入研究,但动力学仍然不清楚,部分原因是缺乏合适的物理模型来模拟软体动物的运动模式和内部驱动力。受软体动物果蝇幼虫的启发,我们提出了一种由真空驱动的软机器人,模拟其爬行行为。该软结构由超弹性硅橡胶制成,旨在模仿幼虫的节段式静水结构。参考有限元方法的数值模拟,相应地控制每个节段中真空压力的动态变化,软机器人可以表现出蠕动运动。软机器人成功地再现了果蝇幼虫的两个先前的实验现象:1. 后退爬行的爬行速度比前进爬行慢。2. 节段收缩持续时间或节段间相位延迟的延长会使蠕动爬行速度变慢。此外,我们的实验结果为收缩力在控制蠕动运动速度方面的作用提供了一个新的预测。这些观察表明,软机器人可以用来研究软体动物爬行行为的动力学。