人工翅膀的机械智能:一种多重高度变形的哲学,其机制类似于生物学
1Artificial Intelligence Innovation and Incubation Institute, College of Computer Science and Artificial Intelligence, Fudan University, Shanghai 200433, China.
Innovation (Cambridge (Mass.))
|March 6, 2026
概括
这项研究引入了一种新的横截面不变哲学,用于人工翅膀,灵感来自鱼. 这种方法可以为先进的仿生推进系统实现高度的变形.
科学领域:
- 生物模拟学和机械工程
- 机器人和控制系统 机器人和控制系统
背景情况:
- 鸟类和鱼类利用变形推进器和机械智能进行推进.
- Myliobatid (射线) 胸提供了先进的人工翅膀设计的模型,因为它们的翅膀形态.
- 在人造翅膀中实现高度的变形仍然是一个重大的工程挑战.
研究的目的:
- 为人工翅膀提出一种新的变形哲学,灵感来自于myliobatid fins的骨架结构.
- 为了提高空气动力学性能,使同时的外平面和平面形状变形成为可能.
- 简化控制系统和模仿生物机制,用于先进的仿生车辆.
主要方法:
- 为"截面不变性"的形态哲学开发了一个数学框架.
- 灵感来自于myliobatid的骨关节对齐.
- 在数学上描述,验证和验证所提出的哲学及其内在机制.
主要成果:
- 展示了一种新的哲学,使得平面外和平面形态同时变形.
- 介绍了内在机制的机械实现,以促进多重的高度变形.
- 与现有的人工和生物翅膀相比,开发了表现出优异的变形性能的原型.
结论:
- 截面不变的哲学有效地使人工翅膀的高度变形成为可能.
- 提出的机制类似于生物系统,简化了控制和传感.
- 这种方法具有很大的潜力,可以在仿生车辆中推进多式推进.
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