Trajectory planning in cooperative robots using artificial vision

Abel A. Rubín-Alvarado, J. M. Gutierrez-Arias, F. Reyes‐Cortes, Gregoria Corona-Morales
{"title":"Trajectory planning in cooperative robots using artificial vision","authors":"Abel A. Rubín-Alvarado, J. M. Gutierrez-Arias, F. Reyes‐Cortes, Gregoria Corona-Morales","doi":"10.1109/ICM50269.2020.9331814","DOIUrl":null,"url":null,"abstract":"When obtaining a mathematical model of any physical system, it is very desirable to be able to verify it before carrying out its implementation, for it is resorted to several methods, one of them is the simulation. In this work we present a methodology denominated SimMechanics, for the system of a mobile robot differential type, carrying out a simulation more approximated to the reality, validating this way the model. The planning of the trajectory it is implemented only in the robot leader with a controller PID applied in the speed of each one of the motors, a second robot endowed with artificial vision denominated slave, that it will maintain identified to the robot leader in all moment and maintaining a determined distance robot leader, to achieve that the trajectory it is traveled by both robots, leader-slave of form cooperative.","PeriodicalId":243968,"journal":{"name":"2020 32nd International Conference on Microelectronics (ICM)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 32nd International Conference on Microelectronics (ICM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICM50269.2020.9331814","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

When obtaining a mathematical model of any physical system, it is very desirable to be able to verify it before carrying out its implementation, for it is resorted to several methods, one of them is the simulation. In this work we present a methodology denominated SimMechanics, for the system of a mobile robot differential type, carrying out a simulation more approximated to the reality, validating this way the model. The planning of the trajectory it is implemented only in the robot leader with a controller PID applied in the speed of each one of the motors, a second robot endowed with artificial vision denominated slave, that it will maintain identified to the robot leader in all moment and maintaining a determined distance robot leader, to achieve that the trajectory it is traveled by both robots, leader-slave of form cooperative.
基于人工视觉的协作机器人轨迹规划
当获得任何物理系统的数学模型时,在实施之前能够对其进行验证是非常可取的,因为它需要几种方法,其中之一是模拟。在这项工作中,我们提出了一种名为SimMechanics的方法,用于移动机器人微分型系统,进行了更接近现实的仿真,验证了这种方式的模型。其轨迹规划仅在机器人领导者中实现,控制器PID应用于每个电机的速度,另一个具有人工视觉的机器人称为奴隶,它将始终与机器人领导者保持识别,并保持机器人领导者的确定距离,以实现两个机器人所走的轨迹,领导者-奴隶形式合作。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信