发展深海和空间研究之间的技术协同作用

IF 4.7 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Elementa-Science of the Anthropocene Pub Date : 2022-01-01 DOI:10.1525/elementa.2021.00064
J. Aguzzi, S. Flögel, S. Marini, L. Thomsen, J. Albiez, P. Weiss, G. Picardi, M. Calisti, S. Stefanni, L. Mirimin, F. Vecchi, Cecilia Laschi, A. Branch, E. B. Clark, B. Foing, A. Wedler, D. Chatzievangelou, M. Tangherlini, A. Purser, L. Dartnell, R. Danovaro
{"title":"发展深海和空间研究之间的技术协同作用","authors":"J. Aguzzi, S. Flögel, S. Marini, L. Thomsen, J. Albiez, P. Weiss, G. Picardi, M. Calisti, S. Stefanni, L. Mirimin, F. Vecchi, Cecilia Laschi, A. Branch, E. B. Clark, B. Foing, A. Wedler, D. Chatzievangelou, M. Tangherlini, A. Purser, L. Dartnell, R. Danovaro","doi":"10.1525/elementa.2021.00064","DOIUrl":null,"url":null,"abstract":"Recent advances in robotic design, autonomy and sensor integration create solutions for the exploration of deep-sea environments, transferable to the oceans of icy moons. Marine platforms do not yet have the mission autonomy capacity of their space counterparts (e.g., the state of the art Mars Perseverance rover mission), although different levels of autonomous navigation and mapping, as well as sampling, are an extant capability. In this setting their increasingly biomimicked designs may allow access to complex environmental scenarios, with novel, highly-integrated life-detecting, oceanographic and geochemical sensor packages. Here, we lay an outlook for the upcoming advances in deep-sea robotics through synergies with space technologies within three major research areas: biomimetic structure and propulsion (including power storage and generation), artificial intelligence and cooperative networks, and life-detecting instrument design. New morphological and material designs, with miniaturized and more diffuse sensor packages, will advance robotic sensing systems. Artificial intelligence algorithms controlling navigation and communications will allow the further development of the behavioral biomimicking by cooperating networks. Solutions will have to be tested within infrastructural networks of cabled observatories, neutrino telescopes, and off-shore industry sites with agendas and modalities that are beyond the scope of our work, but could draw inspiration on the proposed examples for the operational combination of fixed and mobile platforms.","PeriodicalId":54279,"journal":{"name":"Elementa-Science of the Anthropocene","volume":null,"pages":null},"PeriodicalIF":4.7000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Developing technological synergies between deep-sea and space research\",\"authors\":\"J. Aguzzi, S. Flögel, S. Marini, L. Thomsen, J. Albiez, P. Weiss, G. Picardi, M. Calisti, S. Stefanni, L. Mirimin, F. Vecchi, Cecilia Laschi, A. Branch, E. B. Clark, B. Foing, A. Wedler, D. Chatzievangelou, M. Tangherlini, A. Purser, L. Dartnell, R. Danovaro\",\"doi\":\"10.1525/elementa.2021.00064\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recent advances in robotic design, autonomy and sensor integration create solutions for the exploration of deep-sea environments, transferable to the oceans of icy moons. Marine platforms do not yet have the mission autonomy capacity of their space counterparts (e.g., the state of the art Mars Perseverance rover mission), although different levels of autonomous navigation and mapping, as well as sampling, are an extant capability. In this setting their increasingly biomimicked designs may allow access to complex environmental scenarios, with novel, highly-integrated life-detecting, oceanographic and geochemical sensor packages. Here, we lay an outlook for the upcoming advances in deep-sea robotics through synergies with space technologies within three major research areas: biomimetic structure and propulsion (including power storage and generation), artificial intelligence and cooperative networks, and life-detecting instrument design. New morphological and material designs, with miniaturized and more diffuse sensor packages, will advance robotic sensing systems. Artificial intelligence algorithms controlling navigation and communications will allow the further development of the behavioral biomimicking by cooperating networks. Solutions will have to be tested within infrastructural networks of cabled observatories, neutrino telescopes, and off-shore industry sites with agendas and modalities that are beyond the scope of our work, but could draw inspiration on the proposed examples for the operational combination of fixed and mobile platforms.\",\"PeriodicalId\":54279,\"journal\":{\"name\":\"Elementa-Science of the Anthropocene\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.7000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Elementa-Science of the Anthropocene\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1525/elementa.2021.00064\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Elementa-Science of the Anthropocene","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1525/elementa.2021.00064","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 11

摘要

机器人设计、自主性和传感器集成方面的最新进展为探索深海环境创造了解决方案,这些解决方案可转移到冰冷的卫星海洋。海洋平台还不具备其空间对应平台的任务自主能力(例如,最先进的火星毅力号探测器任务),尽管不同级别的自主导航和测绘以及采样是现有的能力。在这种情况下,他们越来越多的仿生学设计可以使用新颖的、高度集成的生命探测、海洋学和地球化学传感器包来访问复杂的环境场景。在此,我们展望了深海机器人在仿生结构和推进(包括电力存储和发电)、人工智能和协作网络、生命探测仪器设计三个主要研究领域与空间技术协同发展的未来进展。新的形态和材料设计,小型化和更分散的传感器封装,将推进机器人传感系统。控制导航和通信的人工智能算法将允许通过合作网络进一步发展行为仿生。解决方案必须在有线观测站、中微子望远镜和海上工业站点的基础设施网络中进行测试,其议程和模式超出了我们的工作范围,但可以从拟议的固定和移动平台的操作组合示例中获得灵感。
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
Developing technological synergies between deep-sea and space research
Recent advances in robotic design, autonomy and sensor integration create solutions for the exploration of deep-sea environments, transferable to the oceans of icy moons. Marine platforms do not yet have the mission autonomy capacity of their space counterparts (e.g., the state of the art Mars Perseverance rover mission), although different levels of autonomous navigation and mapping, as well as sampling, are an extant capability. In this setting their increasingly biomimicked designs may allow access to complex environmental scenarios, with novel, highly-integrated life-detecting, oceanographic and geochemical sensor packages. Here, we lay an outlook for the upcoming advances in deep-sea robotics through synergies with space technologies within three major research areas: biomimetic structure and propulsion (including power storage and generation), artificial intelligence and cooperative networks, and life-detecting instrument design. New morphological and material designs, with miniaturized and more diffuse sensor packages, will advance robotic sensing systems. Artificial intelligence algorithms controlling navigation and communications will allow the further development of the behavioral biomimicking by cooperating networks. Solutions will have to be tested within infrastructural networks of cabled observatories, neutrino telescopes, and off-shore industry sites with agendas and modalities that are beyond the scope of our work, but could draw inspiration on the proposed examples for the operational combination of fixed and mobile platforms.
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
Elementa-Science of the Anthropocene
Elementa-Science of the Anthropocene Earth and Planetary Sciences-Atmospheric Science
CiteScore
6.90
自引率
5.10%
发文量
65
审稿时长
16 weeks
期刊介绍: A new open-access scientific journal, Elementa: Science of the Anthropocene publishes original research reporting on new knowledge of the Earth’s physical, chemical, and biological systems; interactions between human and natural systems; and steps that can be taken to mitigate and adapt to global change. Elementa reports on fundamental advancements in research organized initially into six knowledge domains, embracing the concept that basic knowledge can foster sustainable solutions for society. Elementa is published on an open-access, public-good basis—available freely and immediately to the world.
期刊最新文献
Spatiotemporal changes in Iranian rivers’ discharge Structure and function of the western Baffin Bay coastal and shelf ecosystem Agroecological transitions in the mind Temporal evolution of under-ice meltwater layers and false bottoms and their impact on summer Arctic sea ice mass balance Sea ice and snow characteristics from year-long transects at the MOSAiC Central Observatory
×
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