WARA-PS:公共安全演示和自主协作救援机器人实验的研究场所

Olov Andersson, Patrick Doherty, Mårten Lager, Jens-Olof Lindh, Linnea Persson, Elin A. Topp, Jesper Tordenlid, Bo Wahlberg
{"title":"WARA-PS:公共安全演示和自主协作救援机器人实验的研究场所","authors":"Olov Andersson,&nbsp;Patrick Doherty,&nbsp;Mårten Lager,&nbsp;Jens-Olof Lindh,&nbsp;Linnea Persson,&nbsp;Elin A. Topp,&nbsp;Jesper Tordenlid,&nbsp;Bo Wahlberg","doi":"10.1007/s43684-021-00009-9","DOIUrl":null,"url":null,"abstract":"<div><p>A research arena (WARA-PS) for sensing, data fusion, user interaction, planning and control of collaborative autonomous aerial and surface vehicles in public safety applications is presented. The objective is to demonstrate scientific discoveries and to generate new directions for future research on autonomous systems for societal challenges. The enabler is a computational infrastructure with a core system architecture for industrial and academic collaboration. This includes a control and command system together with a framework for planning and executing tasks for unmanned surface vehicles and aerial vehicles. The motivating application for the demonstration is marine search and rescue operations. A state-of-art delegation framework for the mission planning together with three specific applications is also presented. The first one concerns model predictive control for cooperative rendezvous of autonomous unmanned aerial and surface vehicles. The second project is about learning to make safe real-time decisions under uncertainty for autonomous vehicles, and the third one is on robust terrain-aided navigation through sensor fusion and virtual reality tele-operation to support a GPS-free positioning system in marine environments. The research results have been experimentally evaluated and demonstrated to industry and public sector audiences at a marine test facility. It would be most difficult to do experiments on this large scale without the WARA-PS research arena. Furthermore, these demonstrator activities have resulted in effective research dissemination with high public visibility, business impact and new research collaborations between academia and industry.</p></div>","PeriodicalId":71187,"journal":{"name":"自主智能系统(英文)","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s43684-021-00009-9.pdf","citationCount":"0","resultStr":"{\"title\":\"WARA-PS: a research arena for public safety demonstrations and autonomous collaborative rescue robotics experimentation\",\"authors\":\"Olov Andersson,&nbsp;Patrick Doherty,&nbsp;Mårten Lager,&nbsp;Jens-Olof Lindh,&nbsp;Linnea Persson,&nbsp;Elin A. Topp,&nbsp;Jesper Tordenlid,&nbsp;Bo Wahlberg\",\"doi\":\"10.1007/s43684-021-00009-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>A research arena (WARA-PS) for sensing, data fusion, user interaction, planning and control of collaborative autonomous aerial and surface vehicles in public safety applications is presented. The objective is to demonstrate scientific discoveries and to generate new directions for future research on autonomous systems for societal challenges. The enabler is a computational infrastructure with a core system architecture for industrial and academic collaboration. This includes a control and command system together with a framework for planning and executing tasks for unmanned surface vehicles and aerial vehicles. The motivating application for the demonstration is marine search and rescue operations. A state-of-art delegation framework for the mission planning together with three specific applications is also presented. The first one concerns model predictive control for cooperative rendezvous of autonomous unmanned aerial and surface vehicles. The second project is about learning to make safe real-time decisions under uncertainty for autonomous vehicles, and the third one is on robust terrain-aided navigation through sensor fusion and virtual reality tele-operation to support a GPS-free positioning system in marine environments. The research results have been experimentally evaluated and demonstrated to industry and public sector audiences at a marine test facility. It would be most difficult to do experiments on this large scale without the WARA-PS research arena. Furthermore, these demonstrator activities have resulted in effective research dissemination with high public visibility, business impact and new research collaborations between academia and industry.</p></div>\",\"PeriodicalId\":71187,\"journal\":{\"name\":\"自主智能系统(英文)\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://link.springer.com/content/pdf/10.1007/s43684-021-00009-9.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"自主智能系统(英文)\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s43684-021-00009-9\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"自主智能系统(英文)","FirstCategoryId":"1093","ListUrlMain":"https://link.springer.com/article/10.1007/s43684-021-00009-9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

介绍了公共安全应用中协同自主空中和地面飞行器的传感、数据融合、用户交互、规划和控制的研究领域(WARA-PS)。其目的是展示科学发现,并为未来研究自主系统应对社会挑战提供新方向。其推动因素是一个具有核心系统架构的计算基础设施,用于工业和学术合作。这包括一个控制和指挥系统,以及一个用于规划和执行无人水面飞行器和空中飞行器任务的框架。演示的激励应用是海上搜救行动。此外,还介绍了任务规划的最新授权框架以及三个具体应用。第一个项目涉及自主无人驾驶飞行器和水面飞行器合作会合的模型预测控制。第二个项目是学习在不确定情况下为自主飞行器做出安全的实时决策,第三个项目是通过传感器融合和虚拟现实远程操作实现稳健的地形辅助导航,以支持海洋环境中的无 GPS 定位系统。研究成果已经过实验评估,并在海洋测试设施中向工业界和公共部门的受众进行了展示。如果没有 WARA-PS 研究平台,很难进行如此大规模的实验。此外,这些示范活动还有效地传播了研究成果,提高了公众知名度,产生了商业影响,并在学术界和产业界之间建立了新的研究合作关系。
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
WARA-PS: a research arena for public safety demonstrations and autonomous collaborative rescue robotics experimentation

A research arena (WARA-PS) for sensing, data fusion, user interaction, planning and control of collaborative autonomous aerial and surface vehicles in public safety applications is presented. The objective is to demonstrate scientific discoveries and to generate new directions for future research on autonomous systems for societal challenges. The enabler is a computational infrastructure with a core system architecture for industrial and academic collaboration. This includes a control and command system together with a framework for planning and executing tasks for unmanned surface vehicles and aerial vehicles. The motivating application for the demonstration is marine search and rescue operations. A state-of-art delegation framework for the mission planning together with three specific applications is also presented. The first one concerns model predictive control for cooperative rendezvous of autonomous unmanned aerial and surface vehicles. The second project is about learning to make safe real-time decisions under uncertainty for autonomous vehicles, and the third one is on robust terrain-aided navigation through sensor fusion and virtual reality tele-operation to support a GPS-free positioning system in marine environments. The research results have been experimentally evaluated and demonstrated to industry and public sector audiences at a marine test facility. It would be most difficult to do experiments on this large scale without the WARA-PS research arena. Furthermore, these demonstrator activities have resulted in effective research dissemination with high public visibility, business impact and new research collaborations between academia and industry.

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
CiteScore
3.90
自引率
0.00%
发文量
0
期刊最新文献
Stabilization of nonlinear safety-critical systems by relaxed converse Lyapunov-barrier approach and its applications in robotic systems Pedestrian safety alarm system based on binocular distance measurement for trucks using recognition feature analysis Multi-objective optimal trajectory planning for manipulators based on CMOSPBO A multi-step regularity assessment and joint prediction system for ordering time series based on entropy and deep learning Life cycle assessment of metal powder production: a Bayesian stochastic Kriging model-based autonomous estimation
×
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