单主多从远程操作系统的半自主编队控制

Yushing Cheung, J. Chung, N. Coleman
{"title":"单主多从远程操作系统的半自主编队控制","authors":"Yushing Cheung, J. Chung, N. Coleman","doi":"10.1109/CICA.2009.4982792","DOIUrl":null,"url":null,"abstract":"The primary objective of this paper is to develop an adaptive formation control method for a team of mobile robotic agents, which implements formation control, obstacle avoidance, and operator induced error compensation for unconstrained motions. In this approach, a leader robot is selected and teleoperated by an operator and the follower robots are autonomously coordinated to make a formation to perform a variety of tasks such as searching and/or pursuing targets, reconnaissance, etc. The formation can be reconfigured to avoid collisions with stationary obstacles and among the member robots. The performance of the developed method was investigated through haptic simulations and experiments. In the simulation study, a haptic device was used as the master robot, and three virtual nonholonomic mobile platforms were employed. The developed method was implemented on two differentially driven Pioneer-AT platforms. Both studies demonstrated consistent performance of the semi-autonomous formation control method in the presence of time-varying communication delays, erroneous operator commands, and stationary obstacles.","PeriodicalId":383751,"journal":{"name":"2009 IEEE Symposium on Computational Intelligence in Control and Automation","volume":"97 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"Semi-autonomous formation control of a single-master multi-slave teleoperation system\",\"authors\":\"Yushing Cheung, J. Chung, N. Coleman\",\"doi\":\"10.1109/CICA.2009.4982792\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The primary objective of this paper is to develop an adaptive formation control method for a team of mobile robotic agents, which implements formation control, obstacle avoidance, and operator induced error compensation for unconstrained motions. In this approach, a leader robot is selected and teleoperated by an operator and the follower robots are autonomously coordinated to make a formation to perform a variety of tasks such as searching and/or pursuing targets, reconnaissance, etc. The formation can be reconfigured to avoid collisions with stationary obstacles and among the member robots. The performance of the developed method was investigated through haptic simulations and experiments. In the simulation study, a haptic device was used as the master robot, and three virtual nonholonomic mobile platforms were employed. The developed method was implemented on two differentially driven Pioneer-AT platforms. Both studies demonstrated consistent performance of the semi-autonomous formation control method in the presence of time-varying communication delays, erroneous operator commands, and stationary obstacles.\",\"PeriodicalId\":383751,\"journal\":{\"name\":\"2009 IEEE Symposium on Computational Intelligence in Control and Automation\",\"volume\":\"97 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE Symposium on Computational Intelligence in Control and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CICA.2009.4982792\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE Symposium on Computational Intelligence in Control and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICA.2009.4982792","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17

摘要

本文的主要目标是开发一种移动机器人代理团队的自适应群体控制方法,该方法实现了群体控制、避障和操作员诱导的无约束运动误差补偿。在这种方法中,由操作员选择一个领导机器人并远程操作,而跟随机器人则自主协调形成编队,执行搜索和/或追捕目标、侦察等各种任务。编队可以重新配置以避免与静止障碍物和成员机器人之间的碰撞。通过触觉仿真和实验研究了该方法的性能。在仿真研究中,采用触觉装置作为主机器人,采用三个虚拟非完整移动平台。开发的方法在两个差分驱动的先锋- at平台上实现。两项研究都证明了半自主编队控制方法在时变通信延迟、错误操作员命令和固定障碍物存在时的一致性能。
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
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Semi-autonomous formation control of a single-master multi-slave teleoperation system
The primary objective of this paper is to develop an adaptive formation control method for a team of mobile robotic agents, which implements formation control, obstacle avoidance, and operator induced error compensation for unconstrained motions. In this approach, a leader robot is selected and teleoperated by an operator and the follower robots are autonomously coordinated to make a formation to perform a variety of tasks such as searching and/or pursuing targets, reconnaissance, etc. The formation can be reconfigured to avoid collisions with stationary obstacles and among the member robots. The performance of the developed method was investigated through haptic simulations and experiments. In the simulation study, a haptic device was used as the master robot, and three virtual nonholonomic mobile platforms were employed. The developed method was implemented on two differentially driven Pioneer-AT platforms. Both studies demonstrated consistent performance of the semi-autonomous formation control method in the presence of time-varying communication delays, erroneous operator commands, and stationary obstacles.
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
自引率
0.00%
发文量
0
期刊最新文献
Design of online soft sensors based on combined adaptive PCA and RBF neural networks Effect of weighting parameters on dynamical behavior of Hopfield neural networks with logistic map activation functions Probabilistic planning integrated in a multi-level dependability concept for mechatronic systems Modeling and control of a nonholonomic Wheeled Mobile Robot with wheel slip dynamics Training set generation using fuzzy logic and dynamic chromosome based Genetic Algorithms for plant identifiers
×
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