通过昆虫灵感的小目标运动反应,通过视觉引导的群体运动协调
Md Arif Billah1, Imraan A Faruque1
1Oklahoma State University, Stillwater, OK, United States of America.
Bioinspiration & biomimetics
|July 24, 2024
概括
这项研究引入了小目标运动反应 (STMR) 群体方法,灵感来自昆虫神经元,使机器人群体能够以最小的代理通信实现集体运动. 在模拟和机器人实现中,STMR证明了有效的组协调和方向控制.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 神经科学是一个神经科学.
- 控制系统 控制系统
背景情况:
- 昆虫的感觉系统为机器人代理协调提供了生物灵感模型.
- 现有的生物启发方法缺乏对多代理机器人群表现的系统理解.
- 在实施生物灵感感应和机器人群的反方面存在障碍.
研究的目的:
- 介绍机器人应用的小目标运动反应式 (STMR) 群集方法.
- 开发昆虫小目标运动探测器 (STMD) 神经元的简洁工程模型.
- 分析STMR方法的稳定性和小组表现.
主要方法:
- 设计了一种昆虫STMD神经元的工程模型,以检测峰值光流.
- 开发了一个基于STMD神经元输出的输出反切换控制系统.
- 进行了双剂和组背景的理论稳定性分析.
- 通过模拟和地面车辆实现验证了STMR方法.
主要成果:
- 在STMR方法实现集体团体运动,尽管最小的代理连接 (单个邻居).
- 理论分析证实了组设置中的双剂稳定性和状态边界性.
- 模拟和机器人实现验证了STMR方法的有效性.
- 集团层面的分析显示,两极分化不断变化,方向偏差正在减少.
结论:
- STMR方法为机器人群协调提供了一种可行的生物灵感方法.
- 最小的连接性不会妨碍STMR群中的有效集体运动.
- 通过极化和方向控制,STMR增强了群体行为,适用于机器人系统.
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