Drennan William Cartwright, Aydin Onur, Emon Bashar, Li Zhengwei, Joy Md Saddam Hossain, Barishman Alexandra, Kim Yelim, Wei Margaret, Denham Danette, Carrillo Annika, Saif M Taher A
Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
CZ Biohub Chicago LLC, Chicago, IL, USA.
Sci Adv. 2025 Jul 18;11(29):eadu8634. doi: 10.1126/sciadv.adu8634. Epub 2025 Jul 16.
The field of biohybrid robotics focuses on using biological actuators to study the emergent properties of tissues and the locomotion of living organisms. On the basis of models of swimming at small size scales, we designed and fabricated a muscle-powered, flagellate swimmer. We investigate the design of a compliant mechanism based on nonlinear mechanics and its mechanical integration with a muscle ring and motor neurons. We find that within a range of anchor stiffnesses around 1 micronewton per micrometer, the homeostatic tension in muscle is insensitive to stiffness, offering greater design flexibility. The proximity of motor neurons results in a fourfold improvement in muscle contractility. Improved contractility and nonlinear design allow for a peak swimming speed about two orders of magnitude higher than previous biohybrid flagellate swimmers, reaching 0.58 body lengths per minute (86.8 micrometers per second), by a mechanism involving inertia that we verify through flow field imaging. This swimmer opens the door for a class of intermediate-Reynolds number swimmers.
生物混合机器人技术领域专注于利用生物致动器来研究组织的涌现特性和生物体的运动。基于小尺寸尺度下的游泳模型,我们设计并制造了一种肌肉驱动的鞭毛游泳器。我们研究了基于非线性力学的柔顺机构设计及其与肌肉环和运动神经元的机械集成。我们发现,在每微米约1微牛顿的一系列锚定刚度范围内,肌肉中的稳态张力对刚度不敏感,从而提供了更大的设计灵活性。运动神经元的靠近使肌肉收缩力提高了四倍。改进的收缩力和非线性设计使得峰值游泳速度比以前的生物混合鞭毛游泳器高出约两个数量级,达到每分钟0.58个身体长度(每秒86.8微米),其机制涉及惯性,我们通过流场成像进行了验证。这种游泳器为一类中等雷诺数游泳器打开了大门。