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在一个类似鱼类的机器人中,持续或间歇游泳的能源效率和神经控制
Xiangxiao Liu1, François A Longchamp1, Luca Zunino1
1Biorobotics Laboratory (BIOROB), École polytechnique fédérale de Lausanne (EPFL), Lausanne 1015, Switzerland.
Science robotics
|January 28, 2026
概括
在像斑马鱼幼虫这样的水生动物中,间歇性游泳比连续运动更节能. 这种效率源于提高执行器性能,而不仅仅是流体动力学.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 生物模拟学是一种生物模拟学.
- 动物的运动 动物的运动
背景情况:
- 许多水生动物表现出间歇性游泳 (bout-and-glide),而不是持续的运动.
- 间歇性游泳的神经机制和功能益处,特别是能效,仍然不清楚.
- 活体动物实验在运动期间观察内部状态时面临挑战.
研究的目的:
- 与连续游泳相比,研究间歇性游泳的能效.
- 探索有助于间歇性移动效率的潜在机制.
- 开发一种生物灵感机器人,能够复制幼虫斑马鱼的游泳行为.
主要方法:
- 开发了ZBot,一个仿制幼虫斑马鱼形态和运动的生物灵感机器人.
- 实施了一个神经网络模型,灵感来自斑马鱼的神经回路.
- 在流和粘性流程中测试ZBot,以分析游泳步态,速度和功耗.
主要成果:
- ZBot成功地复制了幼虫斑马鱼的冲刺滑翔运动.
- 粘性流减少了行驶距离,但对转的影响最小.
- 间歇性游泳表明,在各种速度和流动模式下,运输的能量成本较低.
- 确定了增强的执行器效率作为间歇性游泳节能的关键机制.
结论:
- 间歇性游泳为水上运动提供了显著的能源效率优势.
- 执行器效率是间歇性游泳节能的关键,以前被低估的因素.
- ZBot为研究水生动物运动和效率提供了一个平台,为生物仿真设计提供了洞察力.
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