Algorithm for swarming and following behaviors of multiple mobile robots

A. Otsuka, F. Nagata, M. Habib, Keigo Watanabe
{"title":"Algorithm for swarming and following behaviors of multiple mobile robots","authors":"A. Otsuka, F. Nagata, M. Habib, Keigo Watanabe","doi":"10.1109/IECON.2015.7392208","DOIUrl":null,"url":null,"abstract":"Swarm robotics has been focused in order to express more advanced performance using lower performance devices. Swarming behaviors of multiple robots are need for working in industries or in places where a human cannot enter. In the natural world, some creatures which have simple biological function can acquire higher intelligence by swarming. Therefore, biomimetic method is effective in order to establish an efficient swarming system. In the swarming robotic system, because cost of the system increases in proportion to number of a robot, devices of robots are required to be simple. Furthermore, an implemented algorithm into robots should be designed considering a simplification of the individual robot with keeping correctness of the model of the robots. In this paper, a simple algorithm for swarming and following behaviors is proposed assuming that robots had only three sensors to detect distance information. The algorithm consists of nine patterns according to information of three PSD sensors. In the proposed algorithm, each robot's movement is determined based on the inputs of three distance sensors. Then, a virtual simulator for multiple mobile robotics is developed to evaluate the performance of the algorithm, in which the movement of a virtual robot is modeled based on an actual three-wheeled mobile robot. It is assumed in the simulator that the robot moves only to six directions and rotates counterclockwise or clockwise on the position; the robots do not communicate with each other; shape and kinematics of the robot are simplified in the two-dimensional plane. Several simulations using the proposed algorithm are conducted to evaluate the performance for the swarming and following behaviors. Results of the simulations show that the proposed algorithm can provide swarming and following behaviors.","PeriodicalId":190550,"journal":{"name":"IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IECON.2015.7392208","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Swarm robotics has been focused in order to express more advanced performance using lower performance devices. Swarming behaviors of multiple robots are need for working in industries or in places where a human cannot enter. In the natural world, some creatures which have simple biological function can acquire higher intelligence by swarming. Therefore, biomimetic method is effective in order to establish an efficient swarming system. In the swarming robotic system, because cost of the system increases in proportion to number of a robot, devices of robots are required to be simple. Furthermore, an implemented algorithm into robots should be designed considering a simplification of the individual robot with keeping correctness of the model of the robots. In this paper, a simple algorithm for swarming and following behaviors is proposed assuming that robots had only three sensors to detect distance information. The algorithm consists of nine patterns according to information of three PSD sensors. In the proposed algorithm, each robot's movement is determined based on the inputs of three distance sensors. Then, a virtual simulator for multiple mobile robotics is developed to evaluate the performance of the algorithm, in which the movement of a virtual robot is modeled based on an actual three-wheeled mobile robot. It is assumed in the simulator that the robot moves only to six directions and rotates counterclockwise or clockwise on the position; the robots do not communicate with each other; shape and kinematics of the robot are simplified in the two-dimensional plane. Several simulations using the proposed algorithm are conducted to evaluate the performance for the swarming and following behaviors. Results of the simulations show that the proposed algorithm can provide swarming and following behaviors.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
多移动机器人的群体与跟随行为算法
蜂群机器人一直致力于用性能较低的设备来表达更先进的性能。在工业或人类无法进入的地方工作,需要多个机器人的群集行为。在自然界中,一些具有简单生物功能的生物可以通过群居获得更高的智力。因此,为了建立高效的蜂群系统,仿生方法是有效的。在蜂群机器人系统中,由于系统成本随着机器人数量的增加而增加,因此要求机器人的装置简单。此外,在设计机器人实现算法时,应考虑到个体机器人的简化,同时保持机器人模型的正确性。在假设机器人只有三个传感器来检测距离信息的情况下,提出了一种简单的蜂群和跟随行为算法。该算法根据三个PSD传感器的信息组成9个模式。在该算法中,每个机器人的运动是基于三个距离传感器的输入确定的。在此基础上,以实际三轮移动机器人为模型,对虚拟机器人的运动进行建模,开发了多移动机器人的虚拟仿真器来评估算法的性能。在模拟器中假设机器人只向六个方向移动,并在该位置上逆时针或顺时针旋转;机器人之间不互相交流;在二维平面上简化了机器人的形状和运动学。利用该算法进行了多个仿真,以评估蜂群和跟随行为的性能。仿真结果表明,该算法能够提供群集和跟随行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A new combined bidirectional boost converter and battery charger for electric vehicles Mixed strategist dynamics application to electrical vehicle distributed load scheduling DC fault isolation study of bidirectional dual active bridge DC/DC converter for DC transmission grid application A combined switched reluctance motor drive and battery charger for electric vehicles Experimental validation of a proposed single-phase five-level active rectifier operating with model predictive current control
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1