检索结果-内蒙古大学图书馆

An Algorithm Applying the Self-Organizing Capabilities of a Reaction-Diffusion model to Control Active Swarm Robots Using Only Adjacent Module Information

引用

JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS 2025年第2期111卷 1-22页

作者： Ishida, Takeshi Natl Fisheries Univ Dept Ocean Mech Engn 2-7-1 Nagata Honmachi Shimonoseki Yamaguchi 7596595 Japan

This paper introduces an algorithm designed to control self-organizing swarm robots, drawing inspiration from animal herd behaviors. In contrast to traditional methods that necessitate global information or designated leader modules, our algorithm leverages the self-organizing turing pattern to facilitate the integration and movement of modules without relying on a coordinate system. The proposed method utilizes a "potential value," derived from the turing pattern, to direct the modules towards the swarm's center, thereby maintaining shape integrity during movement. Our algorithm is validated through a two-dimensional simulation model, wherein each module operates under limited capabilities, including restricted self-drive, absence of module identifiers, local communication, and basic computational abilities. Despite these limitations, the algorithm enables the swarm to exhibit dynamic behaviors such as module accumulation and growth, light-source-directed movement, shape preservation after gap traversal, and self-replication. This decentralized and computationally efficient approach enables dynamic shape control and scalability to extensive swarms. It also addresses the constraints of existing turing pattern-based methodologies, such as their focus on static shapes and the computational burden of directly solving the reaction-diffusion equation. Our findings underscore the potential of turing patterns for achieving dynamic and scalable control of resource-constrained swarm robots. This research contributes to the advancement of more robust, adaptable, and versatile swarm robots for diverse applications, including environmental monitoring, construction, and targeted drug delivery. Future work will concentrate on validating the algorithm in a continuous space, developing a physical prototype, and investigating the emergence of hierarchical structures and diverse patterns within the swarm.

关键词： Swarm robots Control algorithm turing pattern model Self-organization Cellular automata

来源：评论

学校读者我要写书评

暂无评论

Distributed Autonomous Control System of the Smart Grid Based on the turing pattern model

引用

IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING 2013年第6期8卷 649-651页

作者： Ishida, Takeshi Natl Fisheries Univ Shimonoseki Yamaguchi 7596595 Japan

Renewable energy resources, which are generally unstable, affect the performance of electricity grids when they are fully connected. A distributed energy supply network system is expected to compensate for the anticipated performance problems. We have constructed a distributed autonomous system that controls batteries installed in each house. In this system, even if central control does not exist, electrical charging and discharging of the batteries are carried out for self-organization. As a result, the grid stability is maintained in the local urban district. Our system is based on the turing pattern model. (c) 2013 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

关键词： smart grid photovoltaic cell secondary battery distributed autonomous system turing pattern model

来源：评论

学校读者我要写书评

暂无评论

Possibility of Controlling Self-Organized patterns with Totalistic Cellular Automata Consisting of Both Rules like Game of Life and Rules Producing turing patterns

引用

MICROMACHINES 2018年第7期9卷 339-339页

作者： Ishida, Takeshi Natl Fisheries Univ Dept Ocean Mech Engn Shimonoseki Yamaguchi 7596595 Japan

The basic rules of self-organization using a totalistic cellular automaton (CA) were investigated, for which the cell state was determined by summing the states of neighboring cells, like in Conway's Game of Life. This study used a short-range and long-range summation of the cell states around the focal cell. These resemble reaction-diffusion (RD) equations, in which self-organizing behavior emerges from interactions between an activating factor and an inhibiting factor. In addition, Game-of-Life-type rules, in which a cell cannot survive when adjoined by too many or too few living cells, were applied. Our model was able to mimic patterns characteristic of biological cells, including movement, growth, and reproduction. This result suggests the possibility of controlling self-organized patterns. Our model can also be applied to the control of engineering systems, such as multirobot swarms and self-assembling microrobots.

关键词： cellular automata Game of Life reaction-diffusion system self-organization turing pattern model Young model

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：