ROSI: A Novel Robotic Method for Belt Conveyor Structures Inspection

G. Garcia, Filipe A. S. Rocha, M. Torre, W. Serrantola, F. Lizarralde, Andre Franca, G. Pessin, G. Freitas
{"title":"ROSI: A Novel Robotic Method for Belt Conveyor Structures Inspection","authors":"G. Garcia, Filipe A. S. Rocha, M. Torre, W. Serrantola, F. Lizarralde, Andre Franca, G. Pessin, G. Freitas","doi":"10.1109/ICAR46387.2019.8981561","DOIUrl":null,"url":null,"abstract":"Belt conveyors play an essential role in the transportation of dry bulk material in different industries. Inspecting conveyor belts structures and its components, such as idlers rolls, is a fundamental task to guarantee the proper production flow. Traditionally, these are cognitive inspections based on sound and vision. In this paper we describe a novel procedure to inspect belt conveyor structures with a robotic device. The system is composed by (i) a mobile platform capable of moving in different terrains, overcoming obstacles and traversing stairs with different slopes, (ii) a robotic manipulator with six degrees of freedom, and (iii) a set of sensors including microphone, accelerometers, laser, and cameras. Preliminary field tests validated the proposed system for mining operations allowing the identification of enhancements regarding platform mobility and control strategy. Based on the kinematic model, we present a control method to command both the mobile platform and robotic manipulator considering the robotic device as a whole-body system. The strategy is validated through simulations using ROS and V-REP.","PeriodicalId":6606,"journal":{"name":"2019 19th International Conference on Advanced Robotics (ICAR)","volume":"3 1","pages":"326-331"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 19th International Conference on Advanced Robotics (ICAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAR46387.2019.8981561","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

Abstract

Belt conveyors play an essential role in the transportation of dry bulk material in different industries. Inspecting conveyor belts structures and its components, such as idlers rolls, is a fundamental task to guarantee the proper production flow. Traditionally, these are cognitive inspections based on sound and vision. In this paper we describe a novel procedure to inspect belt conveyor structures with a robotic device. The system is composed by (i) a mobile platform capable of moving in different terrains, overcoming obstacles and traversing stairs with different slopes, (ii) a robotic manipulator with six degrees of freedom, and (iii) a set of sensors including microphone, accelerometers, laser, and cameras. Preliminary field tests validated the proposed system for mining operations allowing the identification of enhancements regarding platform mobility and control strategy. Based on the kinematic model, we present a control method to command both the mobile platform and robotic manipulator considering the robotic device as a whole-body system. The strategy is validated through simulations using ROS and V-REP.
ROSI:一种新型机器人带式输送机结构检测方法
带式输送机在不同行业的干散物料运输中起着至关重要的作用。检查输送带的结构及其部件,如托辊,是保证正常生产流程的一项基本任务。传统上,这些是基于声音和视觉的认知检查。本文描述了一种用机器人装置检测带式输送机结构的新方法。该系统由(i)一个能够在不同地形上移动、克服障碍和通过不同坡度楼梯的移动平台,(ii)一个六自由度的机器人操纵器,以及(iii)一组传感器组成,包括麦克风、加速度计、激光和摄像头。初步的现场测试验证了拟议的采矿作业系统,从而确定了平台移动性和控制策略的增强。在运动学模型的基础上,提出了一种将机器人装置作为一个整体系统来指挥移动平台和机械臂的控制方法。通过ROS和V-REP仿真验证了该策略。
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:481959085
Book学术官方微信