生物模拟机器人鱼的循环形成方法,灵感来自鱼
Ziye Zhou1,2, Jincun Liu3, Shihan Kong2
1China Academy of Aerospace Science and Innovation, Beijing 102600, China.
Biomimetics (Basel, Switzerland)
|December 22, 2023
概括
这项研究解释了动物循环运动,使用前向跟踪和拓通信. 一个新的多代理模型实现了圆形机器人鱼的形成,通过模拟和实验验证.
科学领域:
- 机器人和集体行为
- 生物仿真和动物群体动力学
- 控制理论和多代理系统
背景情况:
- 在动物群体中,循环运动很常见,比如鱼.
- 现有的模型缺乏对这些集体行为的全面解释.
- 了解这些机制是生物灵感机器人技术的关键.
研究的目的:
- 以数学解释动物的循环运动.
- 开发一种新型的循环形成的多剂型模型.
- 为了证明模型的有效性,使用机器人鱼.
主要方法:
- 勾勒出前向跟踪和循环的拓通信机制.
- 提出一个基于二次集成器的多代理循环形成模型.
- 为收性质和参数开发正负的解决方案.
主要成果:
- 在圆形形式中实现了同质的智能融合.
- 证明了对代理人数和模型参数的收依赖性.
- 成功模拟和实验了多机器人鱼的圆形构造.
结论:
- 这项研究为观察到的动物循环运动提供了数学基础.
- 介绍了一种新的生物灵感方法,用于控制多机器人循环形成.
- 该模型提供了对集体行为和机器人协调的见解.
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