机器人群体聚集的Beeclust算法研究

2022 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT) Pub Date : 2022-12-15 DOI:10.1109/ICMLANT56191.2022.9996514

Oscar Acevedo, Y. Y. Rios, Luis García, D. Narvaez

{"title":"机器人群体聚集的Beeclust算法研究","authors":"Oscar Acevedo, Y. Y. Rios, Luis García, D. Narvaez","doi":"10.1109/ICMLANT56191.2022.9996514","DOIUrl":null,"url":null,"abstract":"Swarm robotics is a topic that has gained momentum in recent years thanks to its possibility to solve different engineering problems. Many robots are expected to work collaboratively to solve a given task. One of the main challenges is the design of the robot controller since it must be defined at the robot level to accomplish a task at the swarm level. The characteristics and properties of natural swarms have been studied to solve this problem. From these studies, basic behaviors have been defined, one of them being aggregation. This work explores the classical aggregation algorithm known as Beeclust. The Beeclust algorithm was implemented in MATLAB. Test were performed to determine its effectiveness in forming aggregates and the factors that affect its efficiency.","PeriodicalId":224526,"journal":{"name":"2022 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A study of the Beeclust algorithm for robot swarm aggregation\",\"authors\":\"Oscar Acevedo, Y. Y. Rios, Luis García, D. Narvaez\",\"doi\":\"10.1109/ICMLANT56191.2022.9996514\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Swarm robotics is a topic that has gained momentum in recent years thanks to its possibility to solve different engineering problems. Many robots are expected to work collaboratively to solve a given task. One of the main challenges is the design of the robot controller since it must be defined at the robot level to accomplish a task at the swarm level. The characteristics and properties of natural swarms have been studied to solve this problem. From these studies, basic behaviors have been defined, one of them being aggregation. This work explores the classical aggregation algorithm known as Beeclust. The Beeclust algorithm was implemented in MATLAB. Test were performed to determine its effectiveness in forming aggregates and the factors that affect its efficiency.\",\"PeriodicalId\":224526,\"journal\":{\"name\":\"2022 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT)\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMLANT56191.2022.9996514\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLANT56191.2022.9996514","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

群机器人是近年来获得势头的一个主题，因为它可以解决不同的工程问题。许多机器人需要协同工作来解决给定的任务。其中一个主要的挑战是机器人控制器的设计，因为它必须在机器人层面上定义，才能在群体层面上完成任务。为了解决这一问题，研究了自然蜂群的特征和性质。从这些研究中，已经定义了基本行为，其中之一是聚集。这项工作探索了被称为Beeclust的经典聚合算法。在MATLAB中实现了Beeclust算法。进行了试验，确定了其形成集料的有效性和影响其效率的因素。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A study of the Beeclust algorithm for robot swarm aggregation

Swarm robotics is a topic that has gained momentum in recent years thanks to its possibility to solve different engineering problems. Many robots are expected to work collaboratively to solve a given task. One of the main challenges is the design of the robot controller since it must be defined at the robot level to accomplish a task at the swarm level. The characteristics and properties of natural swarms have been studied to solve this problem. From these studies, basic behaviors have been defined, one of them being aggregation. This work explores the classical aggregation algorithm known as Beeclust. The Beeclust algorithm was implemented in MATLAB. Test were performed to determine its effectiveness in forming aggregates and the factors that affect its efficiency.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2022 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT)

自引率

0.00%

发文量