Mobile Robotics: Enabling a Pervasive Technology of the Future
移动机器人:实现未来的普及技术
基本信息
- 批准号:EP/M019918/1
- 负责人:
- 金额:$ 636.03万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2015
- 资助国家:英国
- 起止时间:2015 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
VISION: To create, run and exploit the world's leading research programme in mobile autonomy addressing fundamental technical issues which impede large scale commercial and societal adoption of mobile robotics.AMBITION: We need to build better robots - we need them to be cheap, work synergistically with people in large, complex and time-changing environments and do so for long periods of time. Moreover, it is essential that they are safe and trusted. We are compelled as researchers to produce the foundational technologies that will see robots work in economically and socially important domains. These motivations drive the science in this proposal. STRATEGY: Robotics is fast advancing to a point where autonomous systems can add real value to the public domain. The potential reach of mobile robotics in particular is vast, covering sectors as diverse as transport, logistics, space, defence, agriculture and infrastructure management. In order to realise this potential we need our robots to be cheap, work synergistically with people in large, complex and time-changing environments and do so robustly for long periods of time. Our aim, therefore, is to create a lasting, catalysing impact on UKPLC by growing a sustainable centre of excellence in mobile autonomy. A central tenet to this research is that the capability gap between the state of the art and what is needed is addressed by designing algorithms that leverage experiences gained through real and continued world use. Our machines will operate in support of humans and seamlessly integrate into complex cyber-physical systems with a variety of physical and computational elements. We must, therefore, be able to guarantee, and even certify, that the software that controls the robots is safe and trustworthy by design. We will engage in this via a range of flagship technology demonstrators in different domains (transport, logistics, space, etc.), which will mesh the research together, giving at once context, grounding, validation and impact.
愿景:创建、运行和利用世界领先的移动自主研究项目,解决阻碍大规模商业和社会采用移动机器人的基本技术问题。抱负:我们需要制造更好的机器人——我们需要它们便宜,在大型、复杂和不断变化的环境中与人协同工作,并长期这样做。此外,重要的是他们是安全和值得信赖的。作为研究人员,我们必须开发出基础技术,让机器人在经济和社会的重要领域发挥作用。这些动机推动了这项提议的科学性。策略:机器人技术正在快速发展,自主系统可以为公共领域增加真正的价值。移动机器人的潜在影响尤其巨大,涵盖了运输、物流、太空、国防、农业和基础设施管理等多个领域。为了实现这一潜力,我们需要我们的机器人价格便宜,能够在大型、复杂和不断变化的环境中与人协同工作,并能长期稳定地工作。因此,我们的目标是通过发展一个可持续的移动自主卓越中心,为UKPLC创造持久的、催化的影响。这项研究的一个核心原则是,通过设计算法,利用通过真实和持续的世界使用获得的经验,来解决技术状态和需求之间的能力差距。我们的机器将在人类的支持下运行,并无缝地集成到复杂的网络物理系统中,其中包含各种物理和计算元素。因此,我们必须能够保证,甚至证明,控制机器人的软件在设计上是安全可靠的。我们将通过不同领域(运输、物流、空间等)的一系列旗舰技术示范来参与这项工作,这将把研究结合在一起,立即给出背景、基础、验证和影响。
项目成果
期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Rational verification: game-theoretic verification of multi-agent systems
理性验证:多智能体系统的博弈论验证
- DOI:10.1007/s10489-021-02658-y
- 发表时间:2021
- 期刊:
- 影响因子:5.3
- 作者:Abate A
- 通讯作者:Abate A
What goes around: leveraging a constant-curvature motion constraint in radar odometry
发生了什么:利用雷达里程计中的恒定曲率运动约束
- DOI:
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Aldera R
- 通讯作者:Aldera R
Approximate Policy Iteration for Markov Decision Processes via Quantitative Adaptive Aggregations
通过定量自适应聚合进行马尔可夫决策过程的近似策略迭代
- DOI:
- 发表时间:2016
- 期刊:
- 影响因子:0
- 作者:Abate A
- 通讯作者:Abate A
A unified representation for application of architectural constraints in large-scale mapping
大规模测绘中架构约束应用的统一表示
- DOI:10.1109/icra.2016.7487267
- 发表时间:2016
- 期刊:
- 影响因子:0
- 作者:Amayo P
- 通讯作者:Amayo P
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Paul Newman其他文献
Watching Grass Grow: Long-term Visual Navigation and Mission Planning for Autonomous Biodiversity Monitoring
观察草的生长:自主生物多样性监测的长期视觉导航和任务规划
- DOI:
10.48550/arxiv.2404.10446 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Matthew Gadd;Daniele De Martini;Luke Pitt;Wayne Tubby;Matthew Towlson;Chris Prahacs;Oliver Bartlett;John Jackson;Man Qi;Paul Newman;Andrew Hector;Roberto Salguero;Nick Hawes - 通讯作者:
Nick Hawes
Hausa diphthongs
- DOI:
10.1016/0024-3841(81)90059-0 - 发表时间:
1981-10-01 - 期刊:
- 影响因子:
- 作者:
Paul Newman;Bello Ahmad Salim - 通讯作者:
Bello Ahmad Salim
Allocating audit resources to detect fraud
- DOI:
10.1007/bf02918230 - 发表时间:
1996-06-01 - 期刊:
- 影响因子:5.800
- 作者:
Paul Newman;Shelley Rhoades;Reed Smith - 通讯作者:
Reed Smith
ATom: Merged Atmospheric Chemistry, Trace Gases, and Aerosols, Version 2
ATom:合并大气化学、痕量气体和气溶胶,版本 2
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
S. Wofsy;S. Afshar;H. Allen;E. Apel;E. Asher;B. Barletta;J. Bent;H. Bian;B. C. Biggs;D. Blake;N. Blake;I. Bourgeois;C. Brock;W. Brune;J. Budney;T. Bui;A. Butler;P. Campuzano‐Jost;C. Chang;M. Chin;R. Commane;G. Correa;J. Crounse;P. Cullis;B. Daube;D. Day;J. Dean‐Day;J. Dibb;J. Digangi;G. Diskin;M. Dollner;J. Elkins;F. Erdesz;A. Fiore;C. Flynn;K. Froyd;D. Gesler;S. Hall;T. Hanisco;R. Hannun;A. Hills;E. Hintsa;A. Hoffman;R. Hornbrook;L. G. Huey;S. Hughes;J. Jimenez;Beverly J. Johnson;J. Katich;R. Keeling;Michelle J. Kim;A. Kupc;L. Lait;K. McKain;R. McLaughlin;S. Meinardi;D. Miller;S. Montzka;F. Moore;E. Morgan;D. Murphy;L. Murray;B. Nault;J. Neuman;Paul Newman;J. Nicely;X. Pan;W. Paplawsky;J. Peischl;M. Prather;D. Price;E. Ray;J. M. Reeves;M. Richardson;A. Rollins;K. Rosenlof;T. Ryerson;E. Scheuer;G. Schill;J. Schroder;J. Schwarz;J. S. Clair;S. Steenrod;B. Stephens;S. Strode;C. Sweeney;D. Tanner;A. Teng;A. Thames;C. Thompson;K. Ullmann;P. Veres;N. Wagner;A. Watt;R. Weber;B. Weinzierl;P. Wennberg;C. Williamson;J. Wilson;G. Wolfe;C. Woods;L. Zeng;N. Vizenor - 通讯作者:
N. Vizenor
Researching Language: Issues of Power and Method
研究语言:权力与方法问题
- DOI:
- 发表时间:
1993 - 期刊:
- 影响因子:0
- 作者:
Paul Newman;D. Cameron;Elizabeth Frazer;P. Harvey;M. Rampton;K. Richardson - 通讯作者:
K. Richardson
Paul Newman的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Paul Newman', 18)}}的其他基金
Responsive RAs for the Birmingham Experimental Particle Physics Programme
伯明翰实验粒子物理项目的响应式 RA
- 批准号:
ST/X005976/1 - 财政年份:2023
- 资助金额:
$ 636.03万 - 项目类别:
Research Grant
Birmingham Experimental Particle Physics Consolidated Grant 2022-25
伯明翰实验粒子物理综合补助金 2022-25
- 批准号:
ST/W000652/1 - 财政年份:2022
- 资助金额:
$ 636.03万 - 项目类别:
Research Grant
GridPP6 Birmingham Tier-2 Hardware Tranche-2 (2022-2024)
GridPP6 伯明翰 Tier-2 硬件第二批 (2022-2024)
- 批准号:
ST/W007193/1 - 财政年份:2021
- 资助金额:
$ 636.03万 - 项目类别:
Research Grant
Experimental Particle Physics Consolidated Grant 2019-2022
实验粒子物理综合资助2019-2022
- 批准号:
ST/S000860/1 - 财政年份:2019
- 资助金额:
$ 636.03万 - 项目类别:
Research Grant
Spokesperson award (Lazzeroni)
代言人奖(拉泽罗尼)
- 批准号:
ST/T000015/1 - 财政年份:2019
- 资助金额:
$ 636.03万 - 项目类别:
Research Grant
STFC PPRP Capital Equipment Call 2018
STFC PPRP 资本设备电话会议 2018
- 批准号:
ST/S002162/1 - 财政年份:2018
- 资助金额:
$ 636.03万 - 项目类别:
Research Grant
Birmingham Experimental Particle Physics Capital Equipment Round 2016
伯明翰实验粒子物理资本设备 2016 轮
- 批准号:
ST/P005888/1 - 财政年份:2017
- 资助金额:
$ 636.03万 - 项目类别:
Research Grant
Experimental Particle Physics Consolidated Grant 2015
实验粒子物理综合资助 2015
- 批准号:
ST/N000463/1 - 财政年份:2015
- 资助金额:
$ 636.03万 - 项目类别:
Research Grant
Experimental Particle Physics Consolidated Grant 2015 - capital equipment
2015 年实验粒子物理综合资助 - 资本设备
- 批准号:
ST/N001125/1 - 财政年份:2015
- 资助金额:
$ 636.03万 - 项目类别:
Research Grant
相似海外基金
Fostering and Enabling AI, Data and Robotics Technologies for Supporting Human Workers in Harvesting Wild Food
培育和启用人工智能、数据和机器人技术,支持人类工人收获野生食物
- 批准号:
10060010 - 财政年份:2022
- 资助金额:
$ 636.03万 - 项目类别:
EU-Funded
Enabling Technologies for Collaborative Robotics in Manufacturing (CoRoM)
制造中协作机器人技术 (CoRoM)
- 批准号:
498011-2017 - 财政年份:2022
- 资助金额:
$ 636.03万 - 项目类别:
Collaborative Research and Training Experience
Self-learning robotics for industrial contact-rich tasks (ATARI): enabling smart learning in automated disassembly
用于工业接触丰富任务的自学习机器人(ATARI):在自动拆卸中实现智能学习
- 批准号:
EP/W00206X/1 - 财政年份:2022
- 资助金额:
$ 636.03万 - 项目类别:
Research Grant
Enabling Technologies for Collaborative Robotics in Manufacturing (CoRoM)
制造中协作机器人技术 (CoRoM)
- 批准号:
498011-2017 - 财政年份:2021
- 资助金额:
$ 636.03万 - 项目类别:
Collaborative Research and Training Experience
CAREER: Enabling Autonomy via Enhanced Situational Awareness for Underwater Robotics
职业:通过增强水下机器人的态势感知实现自主性
- 批准号:
1943205 - 财政年份:2020
- 资助金额:
$ 636.03万 - 项目类别:
Continuing Grant
VR collaborative robotics, enabling remote physical work.
VR 协作机器人,支持远程体力工作。
- 批准号:
54658 - 财政年份:2020
- 资助金额:
$ 636.03万 - 项目类别:
Collaborative R&D
Diversity Supplement: Enabling advanced endovascular beating-heart procedures through soft robotics
多样性补充:通过软机器人技术实现先进的血管内跳动心脏手术
- 批准号:
10508008 - 财政年份:2020
- 资助金额:
$ 636.03万 - 项目类别:
Enabling advanced endovascular beating-heart procedures through soft robotics
通过软机器人技术实现先进的血管内跳动心脏手术
- 批准号:
9979110 - 财政年份:2020
- 资助金额:
$ 636.03万 - 项目类别:
Enabling Technologies for Collaborative Robotics in Manufacturing (CoRoM)
制造中协作机器人技术 (CoRoM)
- 批准号:
498011-2017 - 财政年份:2020
- 资助金额:
$ 636.03万 - 项目类别:
Collaborative Research and Training Experience
Translating Advanced Camera Tracking Technology to High Precision and High Reliability Indoor Navigation Sensing Enabling More Applications for the Growing Robotics Market
将先进的摄像头跟踪技术转化为高精度和高可靠性的室内导航传感,为不断增长的机器人市场提供更多应用
- 批准号:
105016 - 财政年份:2019
- 资助金额:
$ 636.03万 - 项目类别:
Feasibility Studies