化:从数学建模到控制
Alain Boldini1,2,3, Martina Civitella1, Maurizio Porfiri1,2,4
1Department of Mechanical and Aerospace Engineering, New York University Tandon School of Engineering, Brooklyn, NY 11201, USA.
Royal Society open science
|September 5, 2024
概括
这项研究引入了一个数学框架,用于设计群体行为的环境修改. 它可以精确控制机器人和混合物种群的集体行动.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 集体行为 集体行为
- 人工智能的人工智能
背景情况:
- 通过环境修改间接沟通,是动物群体自我组织的关键.
- 工程师们使用污名学来协调机器人和混合机器人动物群.
- 目前的污名化模型是算法性的,缺乏对环境设计的整体方法.
研究的目的:
- 开发一个数学框架,以了解环境修改和群体行为之间的关系.
- 为了实现设计特定的环境修改,以实现所需的群体形成.
- 为在多样化的群体系统中实施污名化提供统一的方法.
主要方法:
- 通过使用连续化技术,将群体和环境修改作为连续的模型.
- 在一维和二维空间中开发分析推导和数值模拟.
- 根据拟议的数学框架设计环境修改.
主要成果:
- 该框架严格描述了环境变化和群体行为之间的联系.
- 它成功地确定了环境痕迹的必要分布,以实现所需的群体形成.
- 在不同实施平台上表现出适应性.
结论:
- 拟议的数学框架提供了一个整体的 stigmergy 方法.
- 它有助于精确设计环境线索,以控制群体的行为.
- 这项工作推进了对机器人和混合剂系统的污名化应用.
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