Model-Based Suppression Control for Liquid Vessels Carried by a Humanoid Robot While Stair-Climbing

Jean Chagas Vaz, P. Oh
{"title":"Model-Based Suppression Control for Liquid Vessels Carried by a Humanoid Robot While Stair-Climbing","authors":"Jean Chagas Vaz, P. Oh","doi":"10.1109/CASE48305.2020.9216826","DOIUrl":null,"url":null,"abstract":"This paper presents a study to evaluate the effects of sloshing phenomena while a humanoid robot climbs stairs while carrying water containers. Currently humanoid robots can perform a wide range of tasks including handling tools, climbing ladders, and patrolling rough terrain. However, when it comes to manipulation of objects humanoids are fairly limited. This becomes more apparent when humanoids have to handle non-rigid objects. Although many full-sized humanoids cost an extensive amount of money, they fail to respond to common tasks during disaster relief such as delivering water to the victims or possible fires. After disasters such as Hurricane Maria, the need for humanoid robots to assist in these scenarios is becoming increasingly evident. In previous work the authors have developed an algorithm which allows the robot to walk while carrying water buckets. Experiments conducted use the full-sized humanoid DRC-Hubo as an experimental platform. Moreover, a sloshing reduction controller is implemented in order to suppress rocking disturbances. The system was integrated via ROS (Robot Operating System). Additionally, the sloshing reduction was evaluated based on sensor data evaluation.","PeriodicalId":212181,"journal":{"name":"2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CASE48305.2020.9216826","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

This paper presents a study to evaluate the effects of sloshing phenomena while a humanoid robot climbs stairs while carrying water containers. Currently humanoid robots can perform a wide range of tasks including handling tools, climbing ladders, and patrolling rough terrain. However, when it comes to manipulation of objects humanoids are fairly limited. This becomes more apparent when humanoids have to handle non-rigid objects. Although many full-sized humanoids cost an extensive amount of money, they fail to respond to common tasks during disaster relief such as delivering water to the victims or possible fires. After disasters such as Hurricane Maria, the need for humanoid robots to assist in these scenarios is becoming increasingly evident. In previous work the authors have developed an algorithm which allows the robot to walk while carrying water buckets. Experiments conducted use the full-sized humanoid DRC-Hubo as an experimental platform. Moreover, a sloshing reduction controller is implemented in order to suppress rocking disturbances. The system was integrated via ROS (Robot Operating System). Additionally, the sloshing reduction was evaluated based on sensor data evaluation.
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
仿人机器人爬楼梯时携带液体容器的模型抑制控制
本文研究了仿人机器人搬运水容器爬楼梯时晃动现象的影响。目前,人形机器人可以执行广泛的任务,包括搬运工具、爬梯子和巡逻崎岖的地形。然而,当涉及到操纵物体时,类人机器人是相当有限的。当类人必须处理非刚性物体时,这一点变得更加明显。虽然许多全尺寸的人形机器人花费了大量的钱,但它们无法在救灾中执行常见的任务,比如向受害者供水或可能发生的火灾。在诸如玛丽亚飓风这样的灾难之后,对人形机器人在这些场景中提供协助的需求变得越来越明显。在之前的工作中,作者已经开发了一种算法,可以让机器人在提着水桶走路。实验采用全尺寸人形机器人DRC-Hubo作为实验平台。此外,为了抑制摇摆干扰,还设计了减摇控制器。该系统通过ROS(机器人操作系统)集成。此外,基于传感器数据评估对晃动减少进行了评估。
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
P-SaaS: knowledge service oriented manufacturing workflow model for knowledge collaboration and reuse* Anomaly detection and prediction in discrete manufacturing based on cooperative LSTM networks Weak Scratch Detection of Optical Components Using Attention Fusion Network Industrial Blockchain of Things: A Solution for Trustless Industrial Data Sharing and Beyond ACBI: An Alternating Clustering and Bayesian Inference approach for optimizing medical intervention budget under chance constraints
×
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:604180095
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