推力
计算机科学
扭矩
执行机构
机器人
控制理论(社会学)
旋转(数学)
涡流
模拟
粒子图像测速
弹道
软机器人
仿人机器人
变形
不稳定性
翼
活塞(光学)
人工智能
物理
机器人学
推进
可卷曲的尾巴
昆虫飞行
计算机视觉
扳手
剪裁(形态学)
作者
Haitao Qing,Yuanhang Zhu,Jiacheng Guo,Caizhi Zhou,Haoze Sun,Haibo Dong,Daniel Quinn,Jie Yin
出处
期刊:Science Advances
[American Association for the Advancement of Science]
日期:2026-10-07
卷期号:12 (41): eaeg9211-eaeg9211
被引量:1
标识
DOI:10.1126/sciadv.aeg9211
摘要
Complex, three-dimensional (3D) motions typically require actuator arrays and complex control architectures. Here, we present a feather star-inspired soft robotic swimmer that uses only two pneumatic inputs to produce three distinct and switchable swimming modes: jellyfish-like pulsation, fishlike propulsion, and rotor-like reorientation. The robot owes this ability to mechanical intelligence: It leverages a monostable instability in its flexible arms to convert two control actuation inputs into 3D swimming modes, including ascension and descension, forward and backward swimming, hovering, and rotation. The robot achieves a maximum swimming speed of 1.64 body lengths per second, minimum cost of transport of 17.6, and peak rotation speed of 90° per second. Particle image velocimetry analyses and computational fluid dynamics simulations reveal distinct vortex structures governing thrust generation and/or rotational torque in each swimming mode. The robot's minimal input yet multimodal output demonstrates how mechanical intelligence can enable adaptive and multifunctional, yet simple and energy-efficient, robotic and biological swimming mechanisms.
科研通智能强力驱动
Strongly Powered by AbleSci AI